Knowledge graphs meet multi-modal learning: A comprehensive survey

Z Chen, Y Zhang, Y Fang, Y Geng, L Guo… - arXiv preprint arXiv …, 2024 - arxiv.org
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge

Y Zhang, S Zhai, Y Meng, S Bi, Y Chen, G Qi - Information Processing & …, 2024 - Elsevier
Abstract The task of Similar Legal Case Retrieval (SLCR) plays a crucial role in advancing
legal assistance systems and enhancing the fairness of judicial outcomes. However, existing …

Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production

K Xin, Q Wang, J Chen, P Yu, H Zhao, H Ji - arXiv preprint arXiv …, 2024 - arxiv.org
In the rapidly evolving field of metabolic engineering, the quest for efficient and precise gene
target identification for metabolite production enhancement presents significant challenges …

Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation

Y Wang, W Tang, H Sun, Z Zhuang, X Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
Weakly Supervised Entity Alignment (EA) is the task of identifying equivalent entities across
diverse knowledge graphs (KGs) using only a limited number of seed alignments. Despite …

LLM+ KG@ VLDB'24 Workshop Summary

A Khan, T Wu, X Chen - arXiv preprint arXiv:2410.01978, 2024 - arxiv.org
The unification of large language models (LLMs) and knowledge graphs (KGs) has emerged
as a hot topic. At the LLM+ KG'24 workshop, held in conjunction with VLDB 2024 in …

Distributed representations of entities in open-world knowledge graphs

L Guo, Z Chen, J Chen, Y Zhang, Z Sun, Z Bo… - Knowledge-Based …, 2024 - Elsevier
Graph neural network (GNN)-based methods have demonstrated remarkable performance
in various knowledge graph (KG) tasks. However, most existing approaches rely on …