awesome-graph-classification VS GAT

Compare awesome-graph-classification vs GAT and see what are their differences.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations. (by benedekrozemberczki)
Graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism graph-kernel Node2vec graph-embedding network-embedding node-embedding graph-representation-learning Deepwalk graph-convolutional-networks graph-classification
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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903) (by PetarV-)
graph-attention-networks attention-mechanism self-attention Tensorflow neural-networks Python
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petar-v.com
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awesome-graph-classification GAT
1 2
4,698 3,045
- -
1.0 0.0
about 1 year ago about 2 years ago
Python Python
Creative Commons Zero v1.0 Universal MIT License
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awesome-graph-classification

Posts with mentions or reviews of awesome-graph-classification. We have used some of these posts to build our list of alternatives and similar projects.

GAT

Posts with mentions or reviews of GAT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-09.

What are some alternatives?

When comparing awesome-graph-classification and GAT you can also consider the following projects:

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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!

euler - A distributed graph deep learning framework.

how_attentive_are_gats - Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

bottleneck - Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

CrabNet - Predict materials properties using only the composition information!

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

awesome-graph-classification vs pytorch_geometric_temporal GAT vs pytorch-GAT awesome-graph-classification vs euler GAT vs how_attentive_are_gats awesome-graph-classification vs PDN GAT vs bottleneck awesome-graph-classification vs karateclub GAT vs CrabNet awesome-graph-classification vs GraphGPS