Alternatives and similar repositories for BA-GNN

Users that are interested in BA-GNN are comparing it to the libraries listed below

• divelab / LGLP
  ☆20Updated 4 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• slingling / MS-HGAT
  Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
  ☆37Updated 2 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• ruizhang-ai / WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
  WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021
  ☆24Updated 4 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆60Updated 2 years ago
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated 11 months ago
• mmg63 / Hypergraph-Convolution-and-Attention-networks
  Hypergraph convolution and attention networks research
  ☆14Updated 10 months ago
• Wentao-Xu / SHGNN
  The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"
  ☆14Updated 3 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 3 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• Liuluotao / MCHNN
  Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Ass…
  ☆15Updated 2 years ago
• sheldonresearch / HWNN
  Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021
  ☆30Updated 4 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated last year
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• davidbuterez / gnn-neural-readouts
  ☆27Updated 4 months ago
• naganandy / G-MPNN-R
  ☆13Updated 4 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆23Updated 2 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆22Updated 2 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆23Updated last year
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆65Updated last year
• psanch21 / LCAT
  ☆20Updated last year
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆18Updated 2 years ago
• DongWenMin / RANEDDI
  ☆10Updated 3 years ago
• LARS-research / F2GNN
  The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022
  ☆24Updated 3 years ago