HPC-Research-Lab / STMatchLinks
☆12Updated 2 years ago
Alternatives and similar repositories for STMatch
Users that are interested in STMatch are comparing it to the libraries listed below
Sorting:
- Graph Pattern Mining☆89Updated 10 months ago
- ☆21Updated 9 months ago
- ☆31Updated 4 years ago
- ☆40Updated 3 years ago
- Source code of "FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework"☆10Updated 9 months ago
- A graph pattern mining framework for large graphs on gpu.☆13Updated 8 months ago
- Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo☆20Updated 2 years ago
- ☆10Updated last year
- HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management☆34Updated 2 years ago
- ☆15Updated 3 months ago
- ☆27Updated 11 months ago
- GPU-friendly Subgraph Isomorphism, published in ICDE 2020☆34Updated last week
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆10Updated last year
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆12Updated 3 years ago
- A Distributed GNN system☆124Updated 10 months ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆26Updated 3 years ago
- ☆37Updated 5 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆55Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- ☆46Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆125Updated 2 years ago
- ☆11Updated last year
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆35Updated 3 years ago
- ☆11Updated 2 years ago
- ☆31Updated last year
- ☆35Updated last month
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆48Updated 2 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆38Updated last year