Alternatives and similar repositories for BNS-GCN

Users that are interested in BNS-GCN are comparing it to the libraries listed below

• 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
• MITIBMxGraph / SALIENT
  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…
  ☆40Updated 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
• chenzhao / light-dist-gnn
  ☆45Updated 2 years ago
• PASSIONLab / CAGNET
  ☆45Updated last month
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆38Updated 3 years ago
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆82Updated 5 months ago
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆13Updated last year
• mlsysAE2022 / ae_mlsys_gnn
  ☆9Updated 3 years ago
• IntelLabs / SAR
  ☆35Updated this week
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated 4 months ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆47Updated last year
• 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
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆37Updated 4 years ago
• camlsys / degree-quant
  ICLR 2021
  ☆48Updated 4 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆66Updated 2 years ago
• hgyhungry / ge-spmm
  ☆106Updated 3 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
• amazon-science / FeatGraph
  ☆70Updated 3 years ago
• a1bc2def6g / fastgl-ae
  ☆14Updated 11 months ago
• CMUAbstract / Graph-Reordering-IISWC18
  Repo for the IISWC 2018 submission
  ☆9Updated 3 years ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆37Updated 3 years ago
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆38Updated 10 months 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…
  ☆44Updated last year
• facebookresearch / dlrm_datasets
  Set of datasets for the deep learning recommendation model (DLRM).
  ☆47Updated 2 years ago
• BUAA-CI-LAB / Literatures-on-GNN-Acceleration
  A reading list for deep graph learning acceleration.
  ☆248Updated 3 months ago
• PASAUCMerced / Betty
  ☆11Updated 2 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
• mengyangniu / ogbn-papers100m-sage
  ☆13Updated 4 years ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆19Updated last year