Alternatives and similar repositories for SALIENT:

Users that are interested in SALIENT are comparing it to the libraries listed below

• 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
• 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
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated last year
• PASSIONLab / CAGNET
  ☆43Updated 2 weeks ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years ago
• IntelLabs / SAR
  ☆36Updated 8 months ago
• 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
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 4 years ago
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆36Updated 7 months ago
• chenzhao / light-dist-gnn
  ☆46Updated 2 years 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
• abhijangda / nextdoor-experiments
  ☆12Updated 2 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆64Updated last year
• 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…
  ☆61Updated 2 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated last week
• amazon-science / FeatGraph
  ☆73Updated 3 years ago
• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆38Updated 10 months ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆51Updated 2 years ago
• 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
• gsampler9 / gSampler
  ☆27Updated 6 months ago
• Xtra-Computing / G3
  G3: A Programmable GNN Training System on GPU
  ☆43Updated 4 years ago
• hgyhungry / ge-spmm
  ☆104Updated 3 years ago
• PASAUCMerced / Betty
  ☆11Updated 2 years ago
• mlsysAE2022 / ae_mlsys_gnn
  ☆9Updated 2 years ago
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated last year
• araij / rabbit_order
  ☆45Updated 2 years ago
• STAR-Laboratory / Accelerating-RecSys-Training
  Accelerating Recommender model training by leveraging popular choices -- VLDB 2022
  ☆29Updated 5 months ago
• jeongminpark417 / GIDS
  ☆30Updated 8 months ago
• CMUAbstract / Graph-Reordering-IISWC18
  Repo for the IISWC 2018 submission
  ☆9Updated 2 years ago
• guowentian / SubgraphMatchGPU
  ☆29Updated 4 years ago