RUCAIBox / GMPTLinks
[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".
☆17Updated 3 years ago
Alternatives and similar repositories for GMPT
Users that are interested in GMPT are comparing it to the libraries listed below
Sorting:
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 4 years ago
- ☆12Updated 4 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆71Updated 3 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆59Updated 4 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Updated 11 months ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆10Updated 4 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Updated 3 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 3 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆82Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆115Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated 2 years ago
- An implement of CompGCN in Pytorch and DGL.☆37Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆34Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆28Updated 3 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- Faithfully Explainable Recommendation via Neural Logic Reasoning☆16Updated 4 years ago
- ☆57Updated 2 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago