IEEE

Integrating Item-Item Semantic Similarity with Item Sequence in Graph Neural Network for Collaborative Filtering

Abstract: Recent graph neural network-based collaborative filtering models are capable of representing complex user-item interaction information, which is crucial when datasets exhibit high sparsity.
Frontiers

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
IEEE

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...