Knowledge graphs meet multi-modal learning: A comprehensive survey
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 …
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
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 …
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
In the rapidly evolving field of metabolic engineering, the quest for efficient and precise gene
target identification for metabolite production enhancement presents significant challenges …
target identification for metabolite production enhancement presents significant challenges …
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
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 …
diverse knowledge graphs (KGs) using only a limited number of seed alignments. Despite …
LLM+ KG@ VLDB'24 Workshop Summary
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 …
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
Graph neural network (GNN)-based methods have demonstrated remarkable performance
in various knowledge graph (KG) tasks. However, most existing approaches rely on …
in various knowledge graph (KG) tasks. However, most existing approaches rely on …