chwan1016 / awesome-gnn-systems
A list of awesome GNN systems.
☆281Updated this week
Related projects: ⓘ
- A reading list for deep graph learning acceleration.☆216Updated last month
- ☆187Updated 8 months ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆112Updated last month
- ☆136Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆288Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆38Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆74Updated last week
- ☆44Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆137Updated 4 months ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆27Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆286Updated 6 months ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆47Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆51Updated 11 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆468Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆164Updated 11 months ago
- Papers on Graph Analytics, Mining, and Learning☆123Updated 2 years ago
- ☆42Updated 2 weeks ago
- Visualization tool for Graph Neural Networks☆232Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆63Updated last year
- ☆10Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆158Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆248Updated 2 months ago
- Large scale graph learning on a single machine.☆160Updated last week
- Bag of Tricks for Graph Neural Networks.☆276Updated 2 months ago
- ☆34Updated 3 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 2 years ago
- ☆11Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆299Updated last year
- ☆71Updated 3 years ago
- ☆331Updated 2 months ago