GEMS Lab: Graph Exploration & Mining at Scale, University of Michigan

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1. REGALREGALPublic

   Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

   Python 97 16

2. VoG_Graph_SummarizationVoG_Graph_SummarizationPublic

   Summarization of static graphs using the Minimum Description Length principle

   Python 28 16

3. MultiLENSMultiLENSPublic

   Framework for latent network summarization: bridging network embedding and summarization

   Python 10 2

4. KGistKGistPublic

   Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)

   Python 38 8

5. GroupINNGroupINNPublic

   GNN with summarization/grouping layer for speed and interpretability

   Python 15 5

6. MCbook_Individual-Collective_GraphMiningMCbook_Individual-Collective_GraphMiningPublic

   Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

   20 12