16 citations · 22 across the 7 of their papers we have counts for
7 papers
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction
Siyuan Chen, Jiahai Wang
Dynamical complex systems composed of interactive heterogeneous agents are prevalent in the world, including urban traffic systems and social networks. Modeling the interactions am…
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
Siyuan Chen, Xin Du, Jiahai Wang
Emergence, a global property of complex adaptive systems (CASs) constituted by interactive agents, is prevalent in real-world dynamic systems, e.g., network-level traffic congestio…
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Jinbiao Chen, Jiahai Wang, Zizhen Zhang +3
Recently, neural heuristics based on deep reinforcement learning have exhibited promise in solving multi-objective combinatorial optimization problems (MOCOPs). However, they are s…
DegUIL: Degree-aware Graph Neural Networks for Long-tailed User Identity Linkage
Meixiu Long, Siyuan Chen, Xin Du +1
User identity linkage (UIL), matching accounts of a person on different social networks, is a fundamental task in cross-network data mining. Recent works have achieved promising re…
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
Junfa Lin, Siyuan Chen, Jiahai Wang
Recommender systems based on graph neural networks receive increasing research interest due to their excellent ability to learn a variety of side information including social netwo…
Neural Relational Inference with Efficient Message Passing Mechanisms
Siyuan Chen, Jiahai Wang, Guoqing Li
Many complex processes can be viewed as dynamical systems of interacting agents. In many cases, only the state sequences of individual agents are observed, while the interacting re…
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
Siyuan Chen, Jiahai Wang, Xin Du +1
User identity linkage across social networks is an essential problem for cross-network data mining. Since network structure, profile and content information describe different aspe…