nairouz's Stars
junxia97/ProGCL
[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
wzzheng/IDML
[TPAMI 2023] Official implementation of Introspective Deep Metric Learning.
Xiaoshunxin/DFP-GNN
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering
gongleii/AGC-DRR
IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction
TTN-YKK/Clustering_friendly_representation_learning
twitter-research/graph-neural-pde
Graph Neural PDEs
junxia97/SimGRACE
[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
WxTu/ITR
IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network
sckangz/FGC
BGU-CS-VIL/DeepDPM
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
mengliu1998/DL4DisassortativeGraphs
Papers about developing DL methods on disassortative graphs
BorealisAI/SLAPS-GNN
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
hyzhang98/EGAE
Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
YuGuangWang/UFG
datake/AdaGCN
Official Implementation of AdaGCN (ICLR 2021)
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
junxia97/awesome-pretrain-on-molecules
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
snap-stanford/GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Namkyeong/BGRL_Pytorch
Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
hzhao98/GDCL
Graph Debiased Contrastive Learning with Joint Representation Clustering
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
thunlp/OpenGCL
allenhaozhu/COLES
zhao-tong/graph-data-augmentation-papers
A curated list of graph data augmentation papers.
FanzhenLiu/Awesome-Deep-Community-Detection
Deep and conventional community detection related papers, implementations, datasets, and tools.