snap-stanford / pretrain-gnnsLinks
Strategies for Pre-training Graph Neural Networks
☆1,014Updated last year
Alternatives and similar repositories for pretrain-gnns
Users that are interested in pretrain-gnns are comparing it to the libraries listed below
Sorting:
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,027Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,217Updated 3 years ago
- gnn explainer☆957Updated 9 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆593Updated 10 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆834Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 11 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆349Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆945Updated 10 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,008Updated 3 weeks ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆967Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 10 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆670Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- ☆491Updated 4 years ago
- Source code of Graph-Bert☆494Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆622Updated 10 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,678Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆720Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆738Updated 10 months ago
- Graph Auto-Encoder in PyTorch☆432Updated last year
- Papers about explainability of GNNs☆733Updated 3 weeks ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆485Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago