daiquocnguyen / Graph-TransformerLinks
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
☆678Updated 3 years ago
Alternatives and similar repositories for Graph-Transformer
Users that are interested in Graph-Transformer are comparing it to the libraries listed below
Sorting:
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,076Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,049Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆422Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆445Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆896Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Updated last year
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆809Updated 3 years ago
- gnn explainer☆1,028Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,230Updated 10 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 7 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- Source code of Graph-Bert☆506Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆612Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆492Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- ☆504Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆681Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆360Updated 3 years ago