snap-stanford / pretrain-gnnsLinks
Strategies for Pre-training Graph Neural Networks
☆1,046Updated 2 years ago
Alternatives and similar repositories for pretrain-gnns
Users that are interested in pretrain-gnns are comparing it to the libraries listed below
Sorting:
- gnn explainer☆1,015Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆879Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,063Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆355Updated 5 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆398Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,053Updated 6 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆677Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆659Updated 3 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,009Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆618Updated last year
- How Powerful are Graph Neural Networks?☆1,260Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆657Updated last year
- Source code of Graph-Bert☆506Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,700Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆806Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆343Updated 4 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆805Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆472Updated 2 years ago
- ☆502Updated 4 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆418Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆441Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆500Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆330Updated 2 years ago