Cross-Domain Graph Anomaly Detection.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3110982
Abstract: Anomaly detection on attributed graphs has received increasing research attention lately due to the broad applications in various high-impact domains, such as cybersecurity, finance, and healthcare. Heretofore, most of the existing efforts are predominately performed… read more here.
Keywords: cross domain; domain graph; anomaly detection; graph ... See more keywords
Domain-graph enhanced multi-task multimodal large models for urban planning
Sign Up to like & getrecommendations! Published in 2025 at "Indoor and Built Environment"
DOI: 10.1177/1420326x251368756
Abstract: Although some intelligent large-scale models have been proposed recently, due to the diversity and complexity of urban planning tasks, there are still no domain-specific large-scale models tailored to urban planning that support varied tasks. To… read more here.
Keywords: knowledge; urban planning; domain graph; multimodal large ... See more keywords
A multi-domain graph convolutional network-based prediction model for personalized motor imagery action
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2025.1637018
Abstract: Motor imagery (MI)-based brain-computer interfaces (BCIs) offer a novel method to decode action imagination. Our previous study demonstrated that actions play a key role in causing individual differences. Cognitive EEG signals showed a positive correlation… read more here.
Keywords: multi domain; graph convolutional; motor imagery; domain graph ... See more keywords