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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...
Created
2020-12-26
110 commits to main branch, last one 3 years ago
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Created
2019-08-17
8 commits to master branch, last one 2 years ago
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Created
2019-02-04
613 commits to master branch, last one 2 years ago
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Created
2021-05-23
27 commits to main branch, last one 2 years ago
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
Created
2019-05-29
7 commits to master branch, last one 2 years ago
B站GNN教程资料
Created
2024-01-14
42 commits to main branch, last one 2 months ago
中华人民共和国国家标准文档
Created
2019-02-27
41 commits to master branch, last one about a year ago
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Created
2020-05-03
62 commits to master branch, last one 2 years ago
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Created
2020-12-02
125 commits to main branch, last one 3 years ago
Browedit is an editor for rsw, gnd and gat files
Created
2022-01-11
625 commits to master branch, last one 2 months ago
Gradient gating (ICLR 2023)
Created
2022-10-03
16 commits to main branch, last one about a year ago
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
Created
2023-07-26
2 commits to main branch, last one about a year ago