Alternatives and similar repositories for GNN-Computing

Users that are interested in GNN-Computing are comparing it to the libraries listed below

• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆68Updated 2 years ago
• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆40Updated last year
• hgyhungry / ge-spmm
  ☆111Updated 4 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆30Updated 3 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• xiezhq-hermann / graphiler
  Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…
  ☆59Updated 3 years ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆51Updated 2 years ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated 2 years ago
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆41Updated last year
• GATECH-EIC / PipeGCN
  [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…
  ☆33Updated 2 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• PASSIONLab / CAGNET
  ☆47Updated 7 months ago
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆31Updated 4 months ago
• araij / rabbit_order
  ☆47Updated 3 years ago
• MITIBMxGraph / SALIENT
  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
• mlsysAE2022 / ae_mlsys_gnn
  ☆10Updated 3 years ago
• MITIBMxGraph / SALIENT_artifact
  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
  ☆23Updated 3 years ago
• amazon-science / FeatGraph
  ☆70Updated 4 years ago
• chenxuhao / GraphMiner
  Graph Pattern Mining
  ☆91Updated last year
• gsampler9 / gSampler
  ☆28Updated last year
• wpybtw / Skywalker
  ☆11Updated last year
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 9 months ago
• guowentian / SubgraphMatchGPU
  ☆31Updated 5 years ago
• jeongminpark417 / GIDS
  ☆40Updated 5 months ago
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆44Updated 2 years ago
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 5 years ago
• STAR-Laboratory / Accelerating-RecSys-Training
  Accelerating Recommender model training by leveraging popular choices -- VLDB 2022
  ☆31Updated 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 …
  ☆56Updated 2 years ago
• chenzhao / light-dist-gnn
  ☆46Updated 3 years ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆22Updated 2 years ago