SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
☆51May 23, 2023Updated 3 years ago
Alternatives and similar repositories for PaGraph
Users that are interested in PaGraph are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 2 years ago
- Accepted paper of SIGMOD 2023, DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU☆16Dec 15, 2023Updated 2 years ago
- GPU-initiated Large-scale GNN System [ATC 23]☆19Oct 30, 2024Updated last year
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆43Jul 10, 2024Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆71Mar 2, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆34Mar 15, 2023Updated 3 years ago
- ☆47Sep 5, 2022Updated 3 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Mar 7, 2022Updated 4 years ago
- Open source code of BGL NSDI 2023☆17Apr 27, 2026Updated 2 months ago
- A list of awesome GNN systems.☆348Updated this week
- Graph Sampling using GPU☆52Mar 17, 2022Updated 4 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆42Nov 16, 2021Updated 4 years ago
- ☆13Feb 16, 2023Updated 3 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Large scale graph learning on a single machine.☆167Feb 25, 2025Updated last year
- ☆43Jun 13, 2025Updated last year
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Oct 3, 2022Updated 3 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Jul 1, 2023Updated 3 years ago
- ☆26Dec 4, 2020Updated 5 years ago
- Distributed Multi-GPU GNN Framework☆36Jun 26, 2020Updated 6 years ago
- Graph partitioning for distributed GNN training☆13Mar 26, 2023Updated 3 years ago
- FGNN's artifact evaluation (EuroSys 2022)☆18Apr 25, 2022Updated 4 years ago
- An efficient storage system for concurrent graph processing☆10Feb 1, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Jun 28, 2023Updated 3 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Oct 6, 2023Updated 2 years ago
- A reading list for deep graph learning acceleration.☆253Jul 26, 2025Updated 11 months ago
- ☆13Jan 23, 2021Updated 5 years ago
- ☆39Jan 15, 2021Updated 5 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆55Jul 3, 2022Updated 4 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76May 31, 2021Updated 5 years ago
- A Distributed System for GNN Training☆123Sep 29, 2024Updated last year
- ☆17Jun 25, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- InstAttention: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference☆18Mar 30, 2025Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Feb 3, 2025Updated last year
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Sep 15, 2024Updated last year
- Edge-centric Graph Processing System using Streaming Partitions☆83Jan 16, 2018Updated 8 years ago
- A disaggregated memory orchestration system that virtualizes cluster wide memory to scale data intensive, large memory workloads in virtu…☆13Apr 26, 2019Updated 7 years ago
- Hybrid Threading Tool Set☆15Sep 24, 2020Updated 5 years ago
- ☆69Jun 16, 2021Updated 5 years ago