Yunpu Ma

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

2022 · Proceedings of the AAAI Conference on Artificial Intelligence

Conventional static knowledge graphs model entities in relational data as nodes, connected by edges of specific relation types. However, information and knowledge evolve continuously, and temporal dynamics emerge, which are expected to influence future situations. …

Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion

2022 · arXiv (Cornell University)

Open-domain multi-turn conversations normally face the challenges of how to enrich and expand the content of the conversation. Recently, many approaches based on external knowledge are proposed to generate rich semantic and information conversation. Two …

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

2022 · arXiv (Cornell University)

Knowledge graph completion (KGC) aims to predict the missing links among knowledge graph (KG) entities. Though various methods have been developed for KGC, most of them can only deal with the KG entities seen in …