Alternatives and similar repositories for graphlearn-for-pytorch:

Users that are interested in graphlearn-for-pytorch are comparing it to the libraries listed below

• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆79Updated 2 months ago
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆296Updated last year
• ch-wan / awesome-gnn-systems
  A list of awesome GNN systems.
  ☆300Updated this week
• MITIBMxGraph / SALIENT
  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…
  ☆38Updated last year
• amazon-science / tgl
  ☆198Updated last year
• chenzhao / light-dist-gnn
  ☆46Updated 2 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆134Updated last year
• K-Wu / pytorch-direct_dgl
  PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…
  ☆45Updated last year
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆148Updated 9 months ago
• GATECH-EIC / PipeGCN
  [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…
  ☆31Updated last year
• rapidsai / wholegraph
  WholeGraph - large scale Graph Neural Networks
  ☆101Updated 2 months ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated last year
• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆53Updated last year
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆179Updated this week
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆164Updated 2 years ago
• amazon-science / FeatGraph
  ☆73Updated 3 years ago
• MITIBMxGraph / SALIENT_artifact
  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
  ☆24Updated 2 years ago
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆11Updated 10 months ago
• PKU-DAIR / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training.
  ☆282Updated last month
• PASSIONLab / CAGNET
  ☆43Updated 2 weeks ago
• IntelLabs / SAR
  ☆36Updated 8 months ago
• KnightKingWalk / KnightKing
  A general-purpose, distributed graph random walk engine.
  ☆111Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆291Updated last month
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated last week
• mlsysAE2022 / ae_mlsys_gnn
  ☆9Updated 2 years ago
• iDC-NEU / NeutronStarLite
  A Distributed GNN system
  ☆113Updated 4 months ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆51Updated 2 years ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆299Updated 11 months ago
• TuGraph-family / TuGraph-AntGraphLearning
  Ant Graph Learning (AGL) provides a comprehensive solution for graph learning tasks at an industrial scale.
  ☆84Updated last year
• gsampler9 / gSampler
  ☆27Updated 6 months ago