Title: Neurosymbolic AI for Reasoning on Graph Structures
Speaker: Lauren DeLong
Abstract:
In this short talk, I’ll present my idea for a survey paper on using neurosymbolic methods for reasoning on graph structures. Neurosymbolic methods are increasing in popularity as they combine the scalability and performance of neural network-based methods with the interpretability of symbolic methods. Subsequently, recent works have attempted to extend and apply the ideas of neurosymbolic methods to reasoning on graph structures, often for the purpose of knowledge graph completion. I will explain the ideas and motivation behind these methods, the categories to which I have classified the respective papers, and the general structure of the paper which I plan to write. I would appreciate any feedback and suggestions you might have. Additionally, if any particular sections stand out as interesting to anyone, I welcome volunteers to help co-author the paper.