A variational neural architecture for skill-based team formation

R Hamidi Rad, H Fani, E Bagheri, M Kargar… - ACM Transactions on …, 2023 - dl.acm.org
Team formation is concerned with the identification of a group of experts who have a high
likelihood of effectively collaborating with each other to satisfy a collection of input skills …

[HTML][HTML] Dynamic heterogeneous attributed network embedding

H Li, W Zheng, F Tang, Y Song, B Yao, Y Zhu - Information Sciences, 2024 - Elsevier
Abstract Information networks generally exhibit three characteristics, namely dynamicity,
heterogeneity, and node attribute diversity. However, most existing network embedding …

DyHNet: Learning dynamic heterogeneous network representations

H Nguyen, RH Rad, F Zarrinkalam, E Bagheri - Information Sciences, 2023 - Elsevier
Many real-world networks, such as social networks, contain structural heterogeneity and
experience temporal evolution. However, while there has been growing literature on …

THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks

Y Li, J Zhu, C Zhang, Y Yang, J Zhang, Y Qiao… - Proceedings of the …, 2023 - dl.acm.org
Anomaly detection, particularly the detection of anomalous behaviors in dynamic and
heterogeneous social networks, is becoming more and more crucial in real life. Traditional …