45616756 - GCN on Facebook dataset - #338

Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom
wildanazz:topic-recognition
Nov 23, 2021
Merged

45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom
wildanazz:topic-recognition

Conversation

@wildanazz

@wildanazzwildanazz commented Nov 1, 2021•
edited
Loading

Copy link
Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.

Muhammad Wildan Aziz, 45616756

@wildanazzwildanazz changed the title GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku

gayanku commented Nov 17, 2021

Copy link
Copy Markdown
Collaborator

  • PR Nov 1

  • Commits span 3 days ( 30,31,1)

  • Non descriptive commit messages.

  • Readme is well done with background, results, diagrams.

  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.

  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)

  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.

  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().

@shakes76

shakes76 commented Nov 22, 2021

Copy link
Copy Markdown
Owner

TF/Torch Usage

Adequate use and implementation

Good Practice (Design/Commenting)

Good spacing and comments
No Header blocks -1

Algorithm

Driver Script present
Shows Usage & Demo & Visualisation & Data usage
Module present
No Data leakage
Difficulty: Normal -5

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

Good Description and more Comments could've been used -1
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2
Request Description could be more informative -1

@wildanazzwildanazz reopened this Nov 23, 2021
@wildanazz

wildanazz commented Nov 23, 2021•
edited
Loading

Copy link
Copy Markdown
Author

Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you

@shakes76

shakes76 commented Nov 23, 2021

Copy link
Copy Markdown
Owner

Feedback marks awarded.

@shakes76
shakes76 merged commit 243dc46 into shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

GCN

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
45616756 - GCN on Facebook dataset - #338
Merged
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Nov 23, 2021
Merged
45616756 - GCN on Facebook dataset#338
shakes76 merged 25 commits into
shakes76:topic-recognitionfrom 
wildanazz:topic-recognition
Conversation
@wildanazz
@wildanazzwildanazz
commented
Nov 1, 2021•

edited

Loading

Copy link


Copy Markdown

Hello, this is my submission for the report assignment. In this report, I use GCN for node classification on Facebook Large Page-Page Network. There are three main files: driver.py, model.py, and plot.py. Data preparation, model creation, and training is in the driver.py. GCN layer and model class are in model.py. The plots are generated from plot.py. Thank you.
Muhammad Wildan Aziz, 45616756
@wildanazzwildanazz
changed the title
GCN on Facebook45616756 - GCN on Facebook datasetNov 1, 2021
@gayanku
gayanku
commented
Nov 17, 2021

Copy link


Copy Markdown

Collaborator
  • PR Nov 1
  • Commits span 3 days ( 30,31,1)
  • Non descriptive commit messages.
  • Readme is well done with background, results, diagrams.
  • multi layer (2) layer GCN, Good val accuracy (+85%) though test accuracy not seem to be provided, it can be expected to be similar. Semi supervised split.
  • Valid for NORMAL ( subject to no TSNE plot or code for plotting submitted)
  • Code does not plot a TSNE as needed. While you are saving TSNE embeddings ( which a 2 dimensional) there is no plot code to plot the node (x,y) on a visualizable graph. This is a requirement.
  • Code structure is ok ( has model file, driver file), but can be improved. Move pre processing, train etc from main() as you have done when calling tsne() from main rather than have a huge monolithic main().
@shakes76
shakes76
commented
Nov 22, 2021

Copy link


Copy Markdown

Owner
TF/Torch Usage
Adequate use and implementation
Good Practice (Design/Commenting)
Good spacing and comments

No Header blocks -1
Algorithm
Driver Script present

Shows Usage & Demo & Visualisation & Data usage

Module present

No Data leakage

Difficulty: Normal -5
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
Good Description and more Comments could've been used -1

Markdown used PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Please remove model files, these will clog up the repository. Your pull request will not be merged until they are removed. Feedback marks will be awarded when these are removed. -2

Request Description could be more informative -1
@wildanazzwildanazz
reopened this
Nov 23, 2021
@wildanazz
wildanazz
commented
Nov 23, 2021•

edited

Loading

Copy link


Copy Markdown

Author
Hi @shakes76, I've attempted to remove the unnecessary files that may clog up the repository. Thank you
@shakes76
shakes76
commented
Nov 23, 2021

Copy link


Copy Markdown

Owner
Feedback marks awarded.
@shakes76
shakes76
merged commit 243dc46
into
shakes76:topic-recognitionNov 23, 2021
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

GCN

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@wildanazz@gayanku@shakes76@nathasha-naranpanawa