Alternatives and similar repositories for MetaHG:

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

• mxz12119 / MPDRL
  ☆19Updated 5 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 4 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• 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
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• CDboyOne / IHGNN
  PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)
  ☆24Updated 3 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆26Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated 2 years ago
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆51Updated 3 years ago
• AndyJZhao / NSHE
  Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"
  ☆25Updated 4 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆56Updated last year
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• pcy1302 / asp2vec
  Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)
  ☆19Updated 3 years ago
• jindi-tju / U-GCN
  Source code of "NeurIPS21 - Universal Graph Convolutional Networks"
  ☆20Updated 3 years ago
• YuWang-1024 / DSKReG
  ☆20Updated last year
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• chrisjtan / gnn_cff
  ☆15Updated 2 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆33Updated 3 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago