Alternatives and similar repositories for fastgl-ae

Users that are interested in fastgl-ae are comparing it to the libraries listed below

• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆56Updated last year
• mlsysAE2022 / ae_mlsys_gnn
  ☆9Updated 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…
  ☆40Updated 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
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated 2 years ago
• PASSIONLab / CAGNET
  ☆45Updated last month
• PeterSH6 / MSPipe
  ☆12Updated last year
• IntelLabs / SAR
  ☆35Updated this week
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆38Updated 3 years ago
• zxmeng98 / torchgt
  ☆11Updated 10 months ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆19Updated last year
• 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
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆37Updated 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
• PASAUCMerced / Betty
  ☆11Updated 2 years ago
• chenzhao / light-dist-gnn
  ☆45Updated 2 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…
  ☆61Updated 2 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 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
• abhijangda / nextdoor-experiments
  ☆12Updated 2 years ago
• gsampler9 / gSampler
  ☆27Updated 9 months ago
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆13Updated last year
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆46Updated last year
• hgyhungry / ge-spmm
  ☆106Updated 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
• zirui-ray-liu / Exact
  ☆21Updated 3 years ago
• BUAA-CI-LAB / Literatures-on-GNN-Acceleration
  A reading list for deep graph learning acceleration.
  ☆247Updated 3 months ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆39Updated 4 months ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆28Updated 3 years ago
• guessmewho233 / CoGNN_info_for_SC22
  ☆8Updated 3 years ago