ch-wan / awesome-gnn-systemsLinks
A list of awesome GNN systems.
☆320Updated this week
Alternatives and similar repositories for awesome-gnn-systems
Users that are interested in awesome-gnn-systems are comparing it to the libraries listed below
Sorting:
- A reading list for deep graph learning acceleration.☆248Updated last month
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 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
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆138Updated 3 months ago
- ☆210Updated last year
- ☆45Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆83Updated last month
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- ☆138Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- Open source code of BGL NSDI 2023☆16Updated last year
- ☆10Updated 3 years ago
- ☆11Updated 11 months ago
- Papers on Graph Analytics, Mining, and Learning☆126Updated 2 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆14Updated last year
- ☆27Updated 11 months ago
- ☆11Updated 2 years ago
- Large scale graph learning on a single machine.☆162Updated 4 months ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆157Updated last year
- A Distributed GNN system☆116Updated 9 months ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆38Updated last year
- ☆47Updated 3 months ago
- ☆13Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆310Updated last year
- Experimental Setup for Performance Analysis of Streaming Algorithms☆31Updated 3 years ago
- ☆15Updated 2 months ago