Alternatives and similar repositories for gcnLib

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

• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆66Updated 2 years ago
• zjjzby / GNN-hardware-acceleration-paper
  This repo is to collect the state-of-the-art GNN hardware acceleration paper
  ☆54Updated 4 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆40Updated 3 years ago
• BUAA-CI-LAB / Literatures-on-GNN-Acceleration
  A reading list for deep graph learning acceleration.
  ☆253Updated 2 months ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆36Updated 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
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆40Updated last year
• hgyhungry / ge-spmm
  ☆111Updated 4 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆30Updated 3 years ago
• gsampler9 / gSampler
  ☆28Updated last year
• mlsysAE2022 / ae_mlsys_gnn
  ☆10Updated 3 years ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆50Updated 2 years ago
• chenxuhao / ReadingList
  Papers on Graph Analytics, Mining, and Learning
  ☆127Updated 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
• 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
• PASAUCMerced / Betty
  ☆12Updated 2 years ago
• araij / rabbit_order
  ☆47Updated 3 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
• SJTU-IPADS / gnnlab
  A Factored System for Sample-based GNN Training over GPUs
  ☆43Updated 2 years ago
• faldupriyank / grasp
  Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].
  ☆18Updated 5 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• jeongminpark417 / GIDS
  ☆37Updated 4 months ago
• wpybtw / Skywalker
  ☆10Updated last year
• GraphSAINT / GraphACT
  [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…
  ☆17Updated 4 years ago
• thu-pacman / GraphPi
  ☆40Updated 4 years ago
• thu-nics / CLAP-triangle-counting
  [DATE'23] The official code for paper <CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory>
  ☆23Updated 2 weeks ago
• pkumod / GAMMA
  A graph pattern mining framework for large graphs on gpu.
  ☆14Updated 10 months ago
• PASSIONLab / CAGNET
  ☆47Updated 6 months ago
• chenzhao / light-dist-gnn
  ☆46Updated 3 years ago