Alternatives and similar repositories for online-gnn-learning

Users that are interested in online-gnn-learning are comparing it to the libraries listed below

• amazon-science / tgl
  ☆217Updated 2 years ago
• saurabhdash / GCN_Partitioning
  Graph Partitoning Using Graph Convolutional Networks
  ☆67Updated 3 years ago
• amazon-science / disttgl
  ☆16Updated 2 years ago
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆63Updated 5 years ago
• alibaba / graphlearn-for-pytorch
  A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
  ☆147Updated 4 months ago
• awslabs / multi-table-benchmark
  ☆44Updated last year
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆87Updated 7 months ago
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆166Updated 3 years ago
• marius-team / marius
  Large scale graph learning on a single machine.
  ☆167Updated 11 months ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 5 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆246Updated 4 months ago
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆301Updated 2 years 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
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 5 years ago
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆53Updated last year
• AaltoPML / PINT
  ☆19Updated 3 years ago
• tedzhouhk / GCNP
  ☆16Updated 4 years ago
• snap-stanford / roland
  ☆144Updated 2 years ago
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆157Updated last year
• daochenzha / autoshard
  [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems
  ☆22Updated 2 years ago
• WangXuhongCN / APAN
  ☆59Updated 3 years ago
• xptree / LightNE
  ☆24Updated 3 years ago
• Xtra-Computing / Vine
  Accelerating Exact Constrained Shortest Paths on GPUs
  ☆15Updated 5 years ago
• domargan / awesome-dynamic-graphs
  A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and rela…
  ☆145Updated 2 years ago
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆137Updated 2 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…
  ☆64Updated 2 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Updated last year
• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆23Updated last year
• Starlien95 / Count-GNN
  Learning to Count Isomorphisms with Graph Neural Networks
  ☆13Updated 2 years ago