Pinned Repositories
ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets
AHD-SLE
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Awesome-HigherOrderGraph
Collection of papers relating data-driven higher-order graph/networks researches.
Awesome-Hypergraph-Network
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
HeteHG-VAE
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
HyperLinkPrediction
Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".
Negative-Sampling-for-Hyperedge-Prediction
Source code for negative sampling methods for hyperedges
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
pytorch_geometric
Graph Neural Network Library for PyTorch
liyingjack's Repositories
liyingjack/ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets
liyingjack/AHD-SLE
liyingjack/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
liyingjack/Awesome-HigherOrderGraph
Collection of papers relating data-driven higher-order graph/networks researches.
liyingjack/Awesome-Hypergraph-Network
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
liyingjack/HeteHG-VAE
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
liyingjack/HyperLinkPrediction
Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".
liyingjack/Negative-Sampling-for-Hyperedge-Prediction
Source code for negative sampling methods for hyperedges
liyingjack/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
liyingjack/pytorch_geometric
Graph Neural Network Library for PyTorch
liyingjack/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)