PyGCL / PyGCLLinks
PyGCL: A PyTorch Library for Graph Contrastive Learning
☆957Updated last year
Alternatives and similar repositories for PyGCL
Users that are interested in PyGCL are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,707Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,050Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆895Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆572Updated 2 years ago
- Papers about explainability of GNNs☆783Updated last month
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Updated last year
- Bag of Tricks for Graph Neural Networks.☆298Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,076Updated 2 years ago
- gnn explainer☆1,028Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆337Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆296Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆422Updated 4 years ago
- A curated list of graph data augmentation papers.☆313Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆680Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆956Updated 4 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆504Updated 3 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆433Updated 5 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago