CRIPAC-DIG / GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
☆320Updated 9 months ago
Alternatives and similar repositories for GRACE:
Users that are interested in GRACE are comparing it to the libraries listed below
- A curated list for awesome self-supervised learning for graphs.☆380Updated 2 years ago
- ☆263Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆167Updated 9 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆570Updated 6 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆325Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 9 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- ☆294Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆315Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆341Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- The source code of HeCo☆158Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆408Updated 4 years ago
- A curated list of graph data augmentation papers.☆304Updated 9 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆491Updated 6 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆190Updated 4 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆191Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆289Updated 6 months ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆232Updated 4 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆246Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆397Updated 3 years ago