AlbertTan404 / NA-GSLLinks
[Knowledge-Based Systems] Exploring Attention Mechanism for Graph Similarity Learning
☆18Updated last year
Alternatives and similar repositories for NA-GSL
Users that are interested in NA-GSL are comparing it to the libraries listed below
Sorting:
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆46Updated 3 years ago
- ☆97Updated 4 years ago
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆58Updated 3 years ago
- Official Pytorch code for Structure-Aware Transformer.☆259Updated 2 years ago
- A graph transformer framework☆77Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆129Updated last year
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆59Updated 4 years ago
- ☆67Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆266Updated 2 years ago
- ☆269Updated 3 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆204Updated 4 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- ☆151Updated 5 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 4 months ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 3 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆330Updated last year
- 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
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆18Updated 8 months ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- ☆125Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago