Thinklab-SJTU / pygmtoolsLinks
A Python Graph Matching Toolkit.
☆336Updated 7 months ago
Alternatives and similar repositories for pygmtools
Users that are interested in pygmtools are comparing it to the libraries listed below
Sorting:
- Adapting VLMs to Bench2Drive.☆21Updated this week
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆307Updated last year
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆36Updated 2 weeks ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆48Updated this week
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- ☆16Updated 2 years ago
- Awesome machine learning for temporal point processes papers.☆20Updated 3 years ago
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆265Updated 3 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆63Updated 4 months ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆304Updated 7 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆21Updated last year
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆12Updated 5 months ago
- ☆336Updated 5 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- A graph transformer framework☆77Updated 2 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆202Updated 8 months ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆66Updated 2 weeks ago
- Bag of Tricks for Graph Neural Networks.☆295Updated 10 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆219Updated last year
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Updated 2 years ago
- A list of awesome GNN systems.☆314Updated this week
- SJTU thesis template version 2021, modified from the official version☆46Updated 3 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆742Updated 11 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆123Updated 6 months ago
- Awesome Artificial Intelligence for Electronic Design Automation Papers.☆173Updated last year
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆32Updated 8 months ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆428Updated 2 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆192Updated last month
- GLSearch: Maximum Common Subgraph Detection via Learning to Search☆23Updated last year
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 2 years ago