A Distributed System for GNN Training
☆125Sep 29, 2024Updated last year
Alternatives and similar repositories for NeutronStarLite
Users that are interested in NeutronStarLite are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management☆37Sep 16, 2022Updated 4 years ago
- Source code for “Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective” (VLDB 2024).☆15Apr 21, 2025Updated last year
- ☆45Apr 26, 2023Updated 3 years ago
- data from ICLR OpenReview and code for data analysis☆74Feb 16, 2023Updated 3 years ago
- ☆47Sep 5, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Automatically exported from code.google.com/p/maiter☆14Jan 22, 2021Updated 5 years ago
- ☆10Jan 31, 2024Updated 2 years ago
- ☆11May 29, 2024Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Jun 26, 2020Updated 6 years ago
- C++ driver to evaluate updates in dynamic structural graphs☆19Jun 14, 2022Updated 4 years ago
- [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
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 3 years ago
- Might be a graph storage engine. (WIP)☆13May 14, 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
- 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.
- YiGraph is an LLM-driven agent for autonomous Graph Data Analytics based on Analytics-Augmented Generation. 易图（YiGraph）是一套基于 AAG（分析增强生成）…☆1,225Jul 24, 2026Updated 2 months ago
- ☆11Oct 18, 2023Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51May 23, 2023Updated 3 years ago
- ☆49Apr 11, 2025Updated last year
- ☆13Jan 23, 2021Updated 5 years ago
- ☆22Oct 9, 2022Updated 3 years ago
- ☆49Jan 30, 2026Updated 7 months ago
- Open source code of BGL NSDI 2023☆16Apr 27, 2026Updated 5 months ago
- This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"☆16Dec 11, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆39May 11, 2022Updated 4 years ago
- A list of awesome GNN systems.☆352Updated this week
- Putting Database Meeting Reports Together☆35Nov 10, 2023Updated 2 years ago
- Large scale graph learning on a single machine.☆170Feb 25, 2025Updated last year
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆55Jul 3, 2022Updated 4 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆305Aug 17, 2023Updated 3 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76May 31, 2021Updated 5 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆59Nov 15, 2022Updated 3 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 to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- C++ driver to evaluate updates and analytics on dynamic structural graphs☆27Feb 14, 2022Updated 4 years ago
- ☆26Dec 4, 2020Updated 5 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Mar 1, 2024Updated 2 years ago
- 🍇 A C++ library for parallel graph processing (GRAPE) 🍇☆442Jul 22, 2025Updated last year
- ☆11Jul 9, 2023Updated 3 years ago
- A high-performance distributed graph database based on RDMA.☆18Apr 6, 2022Updated 4 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Mar 17, 2024Updated 2 years ago