GAT
awesome-graph-classification
GAT | awesome-graph-classification | |
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2 | 1 | |
3,045 | 4,698 | |
- | - | |
0.0 | 1.0 | |
about 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | Creative Commons Zero v1.0 Universal |
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GAT
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[D] Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning and Graph Expander Propagation
Found relevant code at https://github.com/PetarV-/GAT + all code implementations here
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Graph Attention Networks (GAT) v2 implementation with side-by-side notes
Code for https://arxiv.org/abs/1710.10903 found: https://github.com/PetarV-/GAT
awesome-graph-classification
What are some alternatives?
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
how_attentive_are_gats - Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
euler - A distributed graph deep learning framework.
bottleneck - Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
CrabNet - Predict materials properties using only the composition information!
karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer