Multiple-source localization from a single-snapshot observation using graph Bayesian optimization

Z Zhang, Z Zhang, Z Chen - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
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 …

XFlow: Benchmarking flow behaviors over graphs

Z Zhang, Z Zhang, Z Chen - arxiv preprint arxiv:2308.03819, 2023 - arxiv.org
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 …

GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets

J Wang, L Zhao - arxiv preprint arxiv:2405.03724, 2024 - arxiv.org
We introduce GraphSL, a new library for studying the graph source localization problem.
graph diffusion and graph source localization are inverse problems in nature: graph …

[PDF][PDF] A Comparative Analysis of Source Identification Algorithms

PA Curiel, RC Tillquist - 2024 - scholarworks.calstate.edu
Identifying the source of a spread in a network, often referred to as the patient-zero problem,
is a difficult task when only given the subgraph of infected nodes. Since 2011, several …