3 accepted papers
In this study, we propose two methods to estimate static graphs from a single dynamic graph and integrate them into hybrid Graph Neural Networks (GNNs), which combine long-term static structure with transient dynamic interactions. Since static graphs are often unavailable and attributes may be diffi
External incentive mechanisms have been studied as a method to promote cooperation in sequential social dilemmas involving multiple autonomous agents. Mutual Acknowledgment Token Exchange (MATE) is one such approach: by enabling agents to exchange acknowledgment tokens, it induces cooperation withou
Counterfactual explanations in Explainable AI (XAI) identify which features to change to alter an outcome, but existing methods adjust only the features of a single agent. We present a new approach to re-evaluating rankings that is based on predictions of future features of the other agents in a ran…