A variational neural architecture for skill-based team formation
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 …
likelihood of effectively collaborating with each other to satisfy a collection of input skills …
[HTML][HTML] Dynamic heterogeneous attributed network embedding
Abstract Information networks generally exhibit three characteristics, namely dynamicity,
heterogeneity, and node attribute diversity. However, most existing network embedding …
heterogeneity, and node attribute diversity. However, most existing network embedding …
DyHNet: Learning dynamic heterogeneous network representations
Many real-world networks, such as social networks, contain structural heterogeneity and
experience temporal evolution. However, while there has been growing literature on …
experience temporal evolution. However, while there has been growing literature on …
THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks
Anomaly detection, particularly the detection of anomalous behaviors in dynamic and
heterogeneous social networks, is becoming more and more crucial in real life. Traditional …
heterogeneous social networks, is becoming more and more crucial in real life. Traditional …