ryderling / MGMNLinks
Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
☆46Updated 3 years ago
Alternatives and similar repositories for MGMN
Users that are interested in MGMN are comparing it to the libraries listed below
Sorting:
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆59Updated 3 years ago
- ☆54Updated 5 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆113Updated 9 months ago
- This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (…☆23Updated 4 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆80Updated 3 years ago
- ☆63Updated 2 years ago
- ☆150Updated 5 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- [Knowledge-Based Systems] Exploring Attention Mechanism for Graph Similarity Learning☆16Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- ☆46Updated 2 years ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆29Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆74Updated 2 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆61Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- ☆47Updated 2 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆305Updated 8 months ago
- Parameterized Explainer for Graph Neural Network☆134Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- The source code of HeCo☆166Updated 3 years ago
- ☆114Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- A collection of graph classification methods☆42Updated 4 years ago