Alternatives and similar repositories for C-SAW

Users that are interested in C-SAW are comparing it to the libraries listed below

• PASSIONLab / CAGNET
  ☆47Updated 3 months ago
• thu-pacman / GraphPi
  ☆40Updated 3 years ago
• flashmobwalk / flashmob
  FlashMob is a shared-memory random walk system.
  ☆32Updated 2 years ago
• AutomataLab / Subway
  Out-of-GPU-Memory Graph Processing with Minimal Data Transfer
  ☆54Updated 2 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆53Updated 3 years ago
• ustcadsl / GraphWalker
  ☆19Updated 5 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 last year
• K-Wu / pytorch-direct_dgl
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
  ☆44Updated 2 years ago
• chenxuhao / GraphMiner
  Graph Pattern Mining
  ☆89Updated 9 months ago
• araij / rabbit_order
  ☆46Updated 2 years ago
• guowentian / SubgraphMatchGPU
  ☆30Updated 4 years ago
• Xtra-Computing / ThunderRW
  Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…
  ☆26Updated 3 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
• Xtra-Computing / G3
  G3: A Programmable GNN Training System on GPU
  ☆43Updated 4 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 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
• AutomataLab / Tigr
  Transforming Graphs for Efficient Irregular Graph Processing on GPUs
  ☆48Updated 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…
  ☆60Updated 2 years ago
• chenxuhao / ReadingList
  Papers on Graph Analytics, Mining, and Learning
  ☆126Updated 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
• datourat / Gorder
  ☆37Updated 5 years ago
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆42Updated 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 2 years ago
• uclasystem / dorylus
  Dorylus: Affordable, Scalable, and Accurate GNN Training
  ☆76Updated 4 years ago
• gsampler9 / gSampler
  ☆27Updated 11 months 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
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆31Updated 2 weeks ago
• amazon-science / FeatGraph
  ☆70Updated 4 years ago
• jeongminpark417 / GIDS
  ☆35Updated last month