Alternatives and similar repositories for AIR

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

• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 3 years ago
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆62Updated 2 years ago
• skepsun / SAGN_with_SLE
  ☆37Updated 3 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆21Updated 3 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 3 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 3 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• im0qianqian / WSDM2022TGP-AntGraph
  the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)
  ☆13Updated last year
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 4 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• CongWeilin / DGCN
  ☆10Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆71Updated 4 years ago
• ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
  Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
  ☆24Updated 2 years ago
• graphprojects / MetaHG
  Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
  ☆11Updated 3 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 3 months ago
• Davidham3 / deeper_insights_into_GCNs
  Deeper insights into graph convolutional networks for semi-supervised learning
  ☆19Updated 6 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• smufang / meta-tail2vec
  Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
  ☆13Updated 4 years ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• LARS-research / NSCaching
  Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.
  ☆12Updated 4 years ago
• zhitao-wang / PLNLP
  Pairwise learning neural link prediction for ogb link prediction
  ☆41Updated 3 years ago
• zyang-16 / STAM
  Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"
  ☆38Updated 2 years ago
• InkToYou / WL-Kernel-DGL
  An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library
  ☆9Updated 4 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago