jwzhanggy / Graph-BertLinks
Source code of Graph-Bert
☆496Updated last year
Alternatives and similar repositories for Graph-Bert
Users that are interested in Graph-Bert are comparing it to the libraries listed below
Sorting:
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆494Updated 11 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆848Updated last year
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆620Updated 11 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,035Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆673Updated 2 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆255Updated 3 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- ☆125Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,022Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆596Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆424Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆645Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆262Updated 4 years ago
- Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)☆446Updated 3 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆630Updated 11 months ago
- ☆300Updated 3 years ago
- Inductive relation prediction by subgraph reasoning, ICML'20☆238Updated 11 months ago
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆654Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆126Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆235Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated 2 years ago
- code of HetGNN☆407Updated 5 years ago