Alternatives and similar repositories for HAT

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

• Tianqi-py / MLGNC
  Multi-label Node Classification
  ☆14Updated last year
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆60Updated 4 years ago
• RManLuo / CP-GNN
  Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…
  ☆42Updated 4 years ago
• zhao-tong / Graph-Anomaly-Loss
  TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …
  ☆43Updated 2 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 6 years ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆78Updated last year
• LeslieHoloway / Awesome-Hypergraph-Learning
  Papers about hypergraph, their applications, and even similar ideas.
  ☆20Updated 4 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆62Updated 3 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 3 years ago
• roshnigiyer / BA-GNN
  ☆10Updated 5 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆94Updated 4 months ago
• DS3Lab / DyHGN
  Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""
  ☆11Updated 3 years ago
• yuwvandy / G2GNN
  ☆45Updated 2 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated 2 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
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆53Updated last year
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆56Updated 4 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 3 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 4 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆39Updated last year
• FraudDetection / FRAUDRE
  ☆37Updated 3 years ago
• sheldonresearch / HWNN
  Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021
  ☆31Updated 6 months ago
• bdy9527 / FAGCN
  ☆101Updated 4 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 4 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆195Updated last year
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• Leo-Q-316 / TDGNN
  Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network
  ☆26Updated 4 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆63Updated 4 years ago