jwzhanggy / Graph-BertLinks
Source code of Graph-Bert
☆495Updated 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 "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆834Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 10 months ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆619Updated 10 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆442Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,016Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,028Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆640Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆254Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- code of HetGNN☆403Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆650Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆592Updated 10 months ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 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
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 11 months ago
- ☆296Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆671Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 5 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆349Updated 4 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆418Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆564Updated 3 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- gnn explainer☆958Updated 9 months ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago