Alternatives and similar repositories for disttgl

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

• amazon-science / tgl
  ☆213Updated last year
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆84Updated 3 months ago
• alibaba / graphlearn-for-pytorch
  A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
  ☆141Updated 5 months ago
• ch-wan / awesome-gnn-systems
  A list of awesome GNN systems.
  ☆325Updated last week
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆155Updated last year
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆18Updated last year
• iDC-NEU / NeutronStream
  ☆10Updated last year
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆311Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆139Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆259Updated last year
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆61Updated last year
• zirui-ray-liu / Exact
  ☆21Updated 3 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆236Updated last week
• saurabhdash / GCN_Partitioning
  Graph Partitoning Using Graph Convolutional Networks
  ☆65Updated 3 years ago
• chenzhao / light-dist-gnn
  ☆46Updated 3 years ago
• johnnyhuangcs / benchtemp
  BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
  ☆22Updated last year
• 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
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆92Updated 11 months ago
• facebookresearch / shaDow_GNN
  [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…
  ☆137Updated 3 years ago
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆166Updated 3 years ago
• szzhang17 / Scaling-Up-Graph-Neural-Networks-Via-Graph-Coarsening
  Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"
  ☆28Updated last year
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆301Updated 2 years ago
• mengyangniu / ogbn-papers100m-sage
  ☆13Updated 4 years ago
• VITA-Group / Large_Scale_GCN_Benchmarking
  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…
  ☆65Updated 2 years ago
• dmlc / GNNLens2
  Visualization tool for Graph Neural Networks
  ☆253Updated 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
• Starlien95 / Count-GNN
  Learning to Count Isomorphisms with Graph Neural Networks
  ☆13Updated 2 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
• marius-team / marius
  Large scale graph learning on a single machine.
  ☆164Updated 7 months ago