Lin-Yijie / Graph-Matching-NetworksLinks
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
☆312Updated last year
Alternatives and similar repositories for Graph-Matching-Networks
Users that are interested in Graph-Matching-Networks are comparing it to the libraries listed below
Sorting:
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆45Updated 4 years ago
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆57Updated 3 years ago
- ☆152Updated 6 years ago
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆270Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆606Updated last year
- Source code of Graph-Bert☆506Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆201Updated 4 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Updated 2 years ago
- ☆302Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆62Updated 2 years 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
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆800Updated 2 years ago
- ☆55Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆334Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆259Updated 2 years ago
- ☆272Updated 3 years ago
- ☆27Updated 11 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆676Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆320Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆954Updated last year
- ☆126Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆207Updated 5 years ago
- ☆18Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year