RUCAIBox / GMPT
[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GMPT
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- ☆12Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆53Updated last year
- An implement of CompGCN in Pytorch and DGL.☆34Updated 3 months ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆14Updated last year
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆57Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆65Updated 2 years ago
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆31Updated 2 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆27Updated 2 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆37Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆10Updated 3 years ago
- [CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"☆55Updated 2 years ago
- ☆49Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆40Updated 2 years ago
- ☆17Updated 2 years ago
- Paper list for knowledge hypergraph☆30Updated 3 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- List of Publications in Graph Contrastive Learning☆35Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 2 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆68Updated 11 months ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆31Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago