Alternatives and similar repositories for nextdoor-experiments

Users that are interested in nextdoor-experiments are comparing it to the libraries listed below

• PASSIONLab / CAGNET
  ☆49Updated 8 months ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 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
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆40Updated 4 years ago
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 10 months ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆51Updated 2 years ago
• mlsysAE2022 / ae_mlsys_gnn
  ☆10Updated 3 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆70Updated 2 years ago
• Xtra-Computing / G3
  G3: A Programmable GNN Training System on GPU
  ☆43Updated 5 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 …
  ☆56Updated 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…
  ☆41Updated last year
• chenzhao / light-dist-gnn
  ☆47Updated 3 years ago
• 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
• 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
• gsampler9 / gSampler
  ☆28Updated last year
• 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
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆44Updated 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
• wpybtw / Skywalker
  ☆12Updated 2 years ago
• araij / rabbit_order
  ☆47Updated 3 years ago
• czkkkkkk / gccl
  ☆13Updated 4 years ago
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆76Updated 4 years ago
• K-Wu / pytorch-direct_dgl
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
  ☆44Updated 2 years ago
• PASAUCMerced / Betty
  ☆12Updated 2 years ago
• hgyhungry / ge-spmm
  ☆112Updated 4 years ago
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆85Updated 6 months ago
• flashmobwalk / flashmob
  FlashMob is a shared-memory random walk system.
  ☆32Updated 2 years ago
• PeterSH6 / MSPipe
  ☆15Updated last year
• a1bc2def6g / fastgl-ae
  ☆16Updated last year