AlbertTan404 / NA-GSL
[Knowledge-Based Systems] Exploring Attention Mechanism for Graph Similarity Learning
☆17Updated 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"☆48Updated 3 years ago
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆58Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- ☆53Updated 5 years ago
- ☆26Updated 6 months ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆28Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- ☆96Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆80Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆170Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆106Updated 3 years ago
- The source code of SpCo☆35Updated last year
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆112Updated 8 months ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- ☆111Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆63Updated 2 years ago
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network☆28Updated 3 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆44Updated last year