Alternatives and similar repositories for 4D-FedGNN-Plus

Users that are interested in 4D-FedGNN-Plus are comparing it to the libraries listed below

• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated 10 months ago
• lgalke / lifelong-learning
  Lifelong Learning of Graph Neural Networks for Open-World Node Classification
  ☆30Updated last year
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆15Updated 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
• divelab / LGLP
  ☆20Updated 4 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
• LeslieHoloway / Awesome-Hypergraph-Learning
  Papers about hypergraph, their applications, and even similar ideas.
  ☆18Updated 3 years ago
• HipGraph / MarkovGNN
  PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…
  ☆15Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆54Updated 2 years ago
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated 10 months ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• yuwvandy / DPGNN
  ☆38Updated last year
• KnowledgeDiscovery / StrGNN
  Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
  ☆23Updated 11 months ago
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 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
  ☆23Updated 3 years ago
• mgao97 / Higher-Order-Network
  ☆13Updated 5 months ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• zaixizhang / ProtGNN
  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
  ☆51Updated 2 years ago
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆44Updated 2 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 3 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆26Updated 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
• yuwvandy / TDGNN
  ☆20Updated 3 years ago
• RingBDStack / DGGAN
  ☆18Updated 4 years ago
• pievos101 / Ensemble-GNN
  Ensemble learning with graph neural networks for disease module discovery and classification
  ☆11Updated last year
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Updated 3 years ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆48Updated last year