Alternatives and similar repositories for lazygcn:

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

• chennnM / GBP
  PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
  ☆26Updated 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…
  ☆79Updated 2 months ago
• skepsun / SAGN_with_SLE
  ☆37Updated 3 years ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆37Updated 2 years ago
• tedzhouhk / GCNP
  ☆16Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 7 months ago
• CongWeilin / DGCN
  ☆10Updated 3 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated 2 years ago
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• LARS-research / PAS
  The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
  ☆25Updated 3 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 3 years ago
• tadpole / AutoNE
  The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)
  ☆17Updated last year
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• zexihuang / random-walk-embedding
  A Broader Picture of Random-walk Based Graph Embedding
  ☆30Updated 3 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…
  ☆66Updated 2 years ago
• cornell-zhang / GraphZoom
  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
  ☆114Updated last year
• LARS-research / SANE
  The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.
  ☆21Updated 2 years ago
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• InkToYou / WL-Kernel-DGL
  An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library
  ☆9Updated 4 years ago
• mengyangniu / ogbn-papers100m-sage
  ☆13Updated 4 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆21Updated 2 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• uta-smile / HGCN
  ☆12Updated 3 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• camlsys / degree-quant
  ICLR 2021
  ☆47Updated 3 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆41Updated 3 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated last month
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• zwt233 / GAMLP
  ☆18Updated 2 years ago