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#

gat

Here are 75 public repositories matching this topic...

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!

  • UpdatedNov 17, 2022
  • Jupyter Notebook

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

  • UpdatedJan 11, 2023
  • Python

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  • UpdatedAug 12, 2022
  • Python

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

  • UpdatedApr 5, 2022
  • Python
gnns_in_action

Code and Content for Manning Publication on Graph Neural Networks

  • UpdatedFeb 25, 2025
  • Jupyter Notebook

中华人民共和国国家标准文档

  • UpdatedNov 13, 2023

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

  • UpdatedJul 25, 2024
  • Python

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

  • UpdatedJan 12, 2025
  • Python

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

  • UpdatedFeb 10, 2026
  • Python

Browedit is an editor for rsw, gnd and gat files

  • UpdatedNov 8, 2025
  • C++

Graph Neural Networks

  • UpdatedAug 5, 2020
  • Python

PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al -https://arxiv.org/abs/1710.10903v3

  • UpdatedJul 28, 2023
  • Python

玩转图神经网络和知识图谱的相关算法:GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe

  • UpdatedApr 27, 2024
  • Jupyter Notebook

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

  • UpdatedMay 1, 2020
  • Jupyter Notebook
machine-learning-with-graphs

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

  • UpdatedApr 5, 2022
  • Jupyter Notebook

[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

  • UpdatedOct 29, 2022
  • Python

PyTorch implementation of GNN models

  • UpdatedJul 11, 2025
  • Jupyter Notebook

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