kahypar / kahyparLinks
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
☆476Updated this week
Alternatives and similar repositories for kahypar
Users that are interested in kahypar are comparing it to the libraries listed below
Sorting:
- Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with…☆147Updated this week
- KaHIP -- Karlsruhe HIGH Quality Partitioning.☆441Updated 2 months ago
- Implementation of the HYPE hypergraph partitioner.☆22Updated 5 years ago
- Maximum independent sets and vertex covers of large sparse graphs.☆78Updated last week
- The implementation is based on the Fiduccia-Mattheyses algorithm.☆29Updated 9 years ago
- Hypergraph Partitioning: benchmarks, evaluators, best known solutions and codes☆69Updated last month
- Galois: C++ library for multi-core and multi-node parallelization☆330Updated last year
- GBBS: Graph Based Benchmark Suite☆211Updated 7 months ago
- ☆23Updated last month
- METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering☆872Updated last week
- KaGen: Communication-free Massively Distributed Graph Generators☆40Updated 2 weeks ago
- A solver for subgraph isomorphism problems, based upon a series of papers by subsets of McCreesh, Prosser, and Trimble.☆83Updated last week
- Implementation of hMETIS☆12Updated 2 years ago
- Pursuing the best performance of linear solver in circuit simulation☆37Updated 4 months ago
- GPU-friendly Subgraph Isomorphism, published in ICDE 2020☆33Updated last year
- Dynamic data structure for sparse graphs.☆29Updated last year
- Graph Pattern Mining☆89Updated 9 months ago
- GraphIt - A High-Performance Domain Specific Language for Graph Analytics☆381Updated 2 years ago
- This is an official implementation for "DeepGate: Learning Neural Representations of Logic Gates".☆22Updated 2 years ago
- Official open source repository for "A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction" (DAC 2022)☆76Updated 10 months ago
- LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models☆23Updated 3 years ago
- Graph edge partitioning algorithms☆46Updated 5 years ago
- ☆31Updated 4 years ago
- C++ logic network library☆240Updated 3 weeks ago
- High-Performance Linear Algebra-based Graph Primitives on GPUs☆224Updated 4 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆85Updated 5 years ago
- Papers on Graph Analytics, Mining, and Learning☆126Updated 2 years ago
- REST, a reinforcement learning framework for constructing rectilinear Steiner Minimum tree (RSMT)☆56Updated 3 years ago
- ☆14Updated last year
- Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo☆20Updated last year