Volume with the Late-Breaking Abstracts submitted to the Evo* 2023
Conference, held in Brno (Czech Republic), from 12 to 14 of April. These papers
present ongoing research and preliminary results investigating on the
application of different approaches of Bioinspired Methods (mainly Evolutionary
Computation) to different problems, most of them real world ones.

应用不同的生物启发方法（主要是进化计算）研究不同问题中的正在进行的研究和初步结果，主要集中在 Evo* 2023 会议的拟态论文中。

Evo* 2023 -- 摘要迟至卷

Evo* 2023 -- Late-Breaking Abstracts Volume

Explaining Graph Neural Networks predictions to end users of AI applications
in easily understandable terms remains an unsolved problem. In particular, we
do not have well developed methods for automatically evaluating explanations,
in ways that are closer to how users consume those explanations. Based on
recent application trends and our own experiences in real world problems, we
propose automatic evaluation approaches for GNN Explanations.

对于如何以易于理解的方式向终端用户解释图神经网络预测仍然是一个未解决的问题，本文基于应用趋势和实际问题经验，提出了一种自动评估 GNN 解释的方法。