acbull / pyHGTLinks
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
☆858Updated last year
Alternatives and similar repositories for pyHGT
Users that are interested in pyHGT are comparing it to the libraries listed below
Sorting:
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆659Updated last year
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆624Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,039Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,030Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆426Updated 4 years ago
- Source code of Graph-Bert☆503Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,155Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆573Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆946Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆493Updated 3 years ago
- gnn explainer☆987Updated 11 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆328Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆636Updated last year
- code of HetGNN☆411Updated 5 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆602Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆236Updated 2 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆397Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆477Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago