GitHub

Variational Graph Auto-encoders in Spektral

This is a re-implementation of the Graph Auto-encoder and Variational Graph Auto-encoder presented here. This implementation is based on Spektral, the Tensorflow-Keras library for Graph Neural ...
GitHub

DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation

# For Mafengwo python main.py --dataset=Mafengwo # For CAMRa2011 python main.py --dataset=CAMRa2011 # For Weeplaces python main.py --dataset=Weeplaces ...
IEEE

Variational Disentangled Graph Auto-Encoders for Link Prediction

Abstract: Existing link prediction methods for graph-structured data produce entangled node representations by indiscriminately aggregating neighborhood information. This entanglement of diverse ...
IEEE

Attention-Based Auto-encoder for Graph Anomaly Detection

Abstract: Graph Anomaly Detection (GAD) is a technique used to detect anomalous graph nodes, which is very important in industrial informatics, particularly in cybersecurity, industrial IoT (IIoT), ...