a1bc2def6g / fastgl-aeLinks
☆17Updated last year
Alternatives and similar repositories for fastgl-ae
Users that are interested in fastgl-ae 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.☆51Updated 2 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- ☆10Updated 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
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- ☆28Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- ☆48Updated 8 months ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆42Updated last year
- ☆12Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- ☆47Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆68Updated 2 years ago
- ☆12Updated 2 years ago
- ☆12Updated last year
- Graph Sampling using GPU☆52Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 10 months ago
- ☆41Updated 5 months ago
- ☆15Updated last year
- Source code of "FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework"☆11Updated last year
- ☆10Updated 2 years ago
- ☆112Updated 4 years ago
- ☆31Updated 5 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 3 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- ☆35Updated 6 months ago
- A Factored System for Sample-based GNN Training over GPUs☆44Updated 2 years ago
- A reading list for deep graph learning acceleration.☆256Updated 4 months ago