[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
☆34Mar 15, 2023Updated 3 years ago
Alternatives and similar repositories for PipeGCN
Users that are interested in PipeGCN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆55Oct 6, 2023Updated 3 years ago
- ☆13Feb 16, 2023Updated 3 years ago
- ☆47Sep 5, 2022Updated 4 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
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Mar 1, 2024Updated 2 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.
- 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
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Mar 7, 2022Updated 4 years ago
- 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
- A list of awesome GNN systems.☆352Oct 6, 2026Updated last week
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆55Jul 3, 2022Updated 4 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Jul 1, 2023Updated 3 years ago
- ☆43Jun 13, 2025Updated last year
- Large scale graph learning on a single machine.☆170Feb 25, 2025Updated last year
- ☆49Apr 11, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- GPU-initiated Large-scale GNN System [ATC 23]☆19Aug 31, 2026Updated last month
- A reading list for deep graph learning acceleration.☆255Jul 26, 2025Updated last year
- ☆21Mar 23, 2022Updated 4 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- [PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and min…☆10Aug 13, 2024Updated 2 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆52Nov 15, 2022Updated 3 years ago
- HeliosArtifact☆22Sep 27, 2022Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆71Mar 2, 2023Updated 3 years ago
- ☆24Oct 31, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Distributed Multi-GPU GNN Framework☆36Jun 26, 2020Updated 6 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76May 31, 2021Updated 5 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 4 years ago
- RPCNIC: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator [HPCA2025]☆16Dec 9, 2024Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆42Nov 16, 2021Updated 4 years ago
- Open-source library for Graph Streaming. Solves the connected components problem using sub-linear space. Published in SIGMOD'22.☆11Apr 6, 2026Updated 6 months ago
- ☆20Jul 1, 2020Updated 6 years ago
- ☆31Mar 21, 2021Updated 5 years ago
- Fastest software for special tensor operations☆21Nov 23, 2023Updated 2 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.
- ☆19Sep 26, 2026Updated 2 weeks ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆36Mar 1, 2023Updated 3 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆90Jun 16, 2025Updated last year
- A software package for one-pass Vertex-cut balanced Graph Partitioning.☆32Aug 2, 2015Updated 11 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆306Aug 17, 2023Updated 3 years ago
- DGL implementation of some deep GNNs☆10Dec 6, 2020Updated 5 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆13Jan 30, 2021Updated 5 years ago