SNU-ARC / GinexLinks
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
☆41Updated last year
Alternatives and similar repositories for Ginex
Users that are interested in Ginex are comparing it to the libraries listed below
Sorting:
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- ☆40Updated 5 months ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆67Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- ☆28Updated last year
- A Factored System for Sample-based GNN Training over GPUs☆44Updated 2 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- ☆11Updated last year
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆31Updated 5 years ago
- ☆12Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆51Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- Graph Pattern Mining☆91Updated last year
- ☆111Updated 4 years ago
- ☆47Updated 3 years ago
- Open source code of BGL NSDI 2023☆17Updated 2 years ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Updated last year
- ☆40Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 9 months ago
- ☆22Updated 4 years ago
- ☆40Updated 4 years ago
- A graph pattern mining framework for large graphs on gpu.☆14Updated 11 months ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- ☆23Updated 2 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Papers on Graph Analytics, Mining, and Learning☆127Updated 3 years ago