OnlyJerryLee's Stars
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
PonderLY/PC-GNN
(WWW 2021) Source code of PC-GNN
he-tiantian/CATs-Learning-Conjoint-Attentions-for-Graph-Neural-Nets
Learning Conjoint Attentions for Graph Neural Nets, NeurIPS 2021
JoonHyung-Park/GraphENS
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
CastalZhou/graphsr
victorchen96/ReNode
Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
sunxiaobei/awesome-attention-based-gnns
A collection of resources on attention-based graph neural networks
inyeoplee77/SAGPool
Official PyTorch Implementation of SAGPool - ICML 2019
TianxiangZhao/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
THUDM/GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
Shen-Lab/SS-GCNs
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
chennnM/GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
DropEdge/DropEdge
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
dongkwan-kim/SuperGAT
[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
jwzhanggy/Graph-Bert
Source code of Graph-Bert
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
lmy1997/tuxiaoshi
ronghangzhu/CensNet
THUDM/GRAND-plus
Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
hengruizhang98/GRAND
DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)
vikasverma1077/GraphMix
Code for reproducing results in GraphMix paper
waimorris/E-GraphSAGE
A PyTorch implementation of of E-GraphSAGE.
hoangntc/TS-IDS
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
tech-srl/how_attentive_are_gats
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
renj-xu/NEGSC
NEGSC
George730/E-ResGAT
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
jwwthu/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
THUDM/GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"