Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
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Updated
Apr 25, 2022 - Python
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
Spectral Graph Pruning Against Over-squashing and Over-smoothing (NeurIPS 2024)
This project implements mechanisms to mitigate over-squashing, improving GNN performance on tasks requiring deep Networks.
Channel-capacity-constrained width and depth estimation for graph neural networks.
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