RapidsAtHKUST / EGSMLinks
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
Alternatives and similar repositories for EGSM
Users that are interested in EGSM are comparing it to the libraries listed below
Sorting:
- GPU-friendly Subgraph Isomorphism, published in ICDE 2020☆36Updated 4 months ago
- ☆31Updated 5 years ago
- Graph Pattern Mining☆93Updated last year
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆12Updated 3 years ago
- Source code of "FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework"☆11Updated last year
- ☆21Updated last year
- ☆41Updated 4 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆58Updated 3 years ago
- Papers on Graph Analytics, Mining, and Learning☆127Updated 3 years ago
- A graph pattern mining framework for large graphs on gpu.☆14Updated 11 months ago
- ☆47Updated 3 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆28Updated last year
- ☆12Updated 4 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 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…☆27Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆68Updated 2 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 3 years ago
- ☆41Updated 5 months ago
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆36Updated 3 years ago
- Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs☆28Updated 2 years ago
- ☆39Updated 6 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆42Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51Updated 2 years ago
- HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management☆34Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- A Distributed System for GNN Training☆123Updated last year
- ☆12Updated last year