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:
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 3 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 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
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆71Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Faithfully Explainable Recommendation via Neural Logic Reasoning☆16Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆112Updated 4 years ago
- ☆12Updated 4 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆82Updated 2 years ago
- ☆20Updated 3 years ago
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Updated 10 months ago
- An implement of CompGCN in Pytorch and DGL.☆37Updated last year
- ☆129Updated 6 months ago
- [CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"☆58Updated 3 years ago
- This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"☆17Updated 5 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Subgraph Based Learning of Contextual Embedding☆29Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- DRUM end to end differentiable rule mining on knowledge graphs☆55Updated 4 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆34Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆94Updated 11 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆90Updated 3 years ago
- ☆48Updated 2 years ago