1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
Zonghan Zhang, Zijian Zhang, Zhiqian Chen
Due to the significance of its various applications, source localization has garnered considerable attention as one of the most important means to confront diffusion hazards. Multi…
XFlow: Benchmarking Flow Behaviors over Graphs
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
The occurrence of diffusion on a graph is a prevalent and significant phenomenon, as evidenced by the spread of rumors, influenza-like viruses, smart grid failures, and similar eve…
Demystifying Graph Convolution with a Simple Concatenation
Zhiqian Chen, Zonghan Zhang
Graph convolution (GConv) is a widely used technique that has been demonstrated to be extremely effective for graph learning applications, most notably node categorization. On the…
Understanding Influence Maximization via Higher-Order Decomposition
Zonghan Zhang, Zhiqian Chen
Given its vast application on online social networks, Influence Maximization (IM) has garnered considerable attention over the last couple of decades. Due to the intricacy of IM, m…