21 citations · 94 across the 19 of their papers we have counts for
18 papers · 1 filter
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
Zhuo Chen, Lingbing Guo, Yin Fang +6
As a crucial extension of entity alignment (EA), multi-modal entity alignment (MMEA) aims to identify identical entities across disparate knowledge graphs (KGs) by exploiting assoc…
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
Yuan He, Jiaoyan Chen, Hang Dong +4
Integrating deep learning techniques, particularly language models (LMs), with knowledge representation techniques like ontologies has raised widespread attention, urging the need…
Low-resource Personal Attribute Prediction from Conversation
Yinan Liu, Hu Chen, Wei Shen +1
Personal knowledge bases (PKBs) are crucial for a broad range of applications such as personalized recommendation and Web-based chatbots. A critical challenge to build PKBs is extr…
Understanding Adverse Biological Effect Predictions Using Knowledge Graphs
Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen +2
Extrapolation of adverse biological (toxic) effects of chemicals is an important contribution to expand available hazard data in (eco)toxicology without the use of animals in labor…
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
Wen Zhang, Jiaoyan Chen, Juan Li +3
Knowledge graph (KG) reasoning is becoming increasingly popular in both academia and industry. Conventional KG reasoning based on symbolic logic is deterministic, with reasoning re…