we present a traffic anomaly detection algorithm based on intuitionistic fuzzy time series graph mining. For multi-dimensional attribute entropy of network traffic data, we establish multiple parallel ...

Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e. neighborhood ...

Just as with the first three editions, the new edition walks the reader through the classic parts of combinatorial enumeration and graph theory ... and unlabeled structures and algorithms and ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

High-entropy alloys (HEAs) offer tunable compositions and surface structures, presenting significant potential for creating novel active sites to enhance CO2 reduction (CO2RR) catalysis, a key process ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

AbilityScore® — is helping families, therapists, and governments track child progress like never before. Read how this ...

and the Anti-Death Penalty Asia Network (Adpan), Buku Beyond Bars aims to increase the amount of reading materials available in Malaysian prison libraries. The organisations hope that more books ...

CNN anchor Jake Tapper and Axios reporter Alex Thompson have set off on the promotional tour for their new book, Original Sin, an explosive tome of reporting on former President Joe Biden’s ...

The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs. Extensively illustrated and with exercises included at the ...