acbull / pyHGTLinks
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
☆895Updated 2 years ago
Alternatives and similar repositories for pyHGT
Users that are interested in pyHGT are comparing it to the libraries listed below
Sorting:
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆678Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,073Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- Heterogeneous Graph Neural Network☆1,197Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆609Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,042Updated 5 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆633Updated last year
- Source code of Graph-Bert☆506Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆432Updated 5 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,050Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Updated last year
- [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
- gnn explainer☆1,027Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- code of HetGNN☆412Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆338Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- How Powerful are Graph Neural Networks?☆1,269Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆809Updated 3 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆264Updated 4 years ago
- Implementation of R-GCNs for Relational Link Prediction☆465Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Updated 4 years ago