Network alignment
Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …
When certain entities exist across multiple systems simultaneously, unveiling their …
Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
Spatial Crowdsourcing (SC) is gaining traction in both academia and industry, with tasks on
SC platforms becoming increasingly complex and requiring collaboration among workers …
SC platforms becoming increasingly complex and requiring collaboration among workers …
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
The problem of representing nodes in a signed network as low-dimensional vectors, known
as signed network embedding (SNE), has garnered considerable attention in recent years …
as signed network embedding (SNE), has garnered considerable attention in recent years …