acbull / pyHGTLinks
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
☆834Updated last year
Alternatives and similar repositories for pyHGT
Users that are interested in pyHGT are comparing it to the libraries listed below
Sorting:
- Heterogeneous Graph Neural Network☆1,140Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 10 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- Source code of Graph-Bert☆494Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,027Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years 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
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆650Updated last year
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆619Updated 10 months ago
- Representation-Learning-on-Heterogeneous-Graph☆442Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,014Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 11 months ago
- code of HetGNN☆403Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆564Updated 3 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆416Updated 4 years ago
- gnn explainer☆957Updated 9 months ago
- ☆351Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆945Updated 10 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆622Updated 10 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
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆670Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆488Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆322Updated last year
- How Powerful are Graph Neural Networks?☆1,217Updated 3 years ago