Summary of Negative Sampling in Knowledge Graph Representation Learning: a Review, by Tiroshan Madushanka et al.
Negative Sampling in Knowledge Graph Representation Learning: A Reviewby Tiroshan Madushanka, Ryutaro IchiseFirst submitted to…
Negative Sampling in Knowledge Graph Representation Learning: A Reviewby Tiroshan Madushanka, Ryutaro IchiseFirst submitted to…
Unlocking the Power of Large Language Models for Entity Alignmentby Xuhui Jiang, Yinghan Shen, Zhichao…
A Usage-centric Take on Intent Understanding in E-Commerceby Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark…
A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directionsby Xiaxia Wang,…
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embeddingby Ruiyi Yang, Flora…
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphsby Kai Wang, Yuwei Xu, Zhiyong…
Question Answering Over Spatio-Temporal Knowledge Graphby Xinbang Dai, Huiying Li, Guilin QiFirst submitted to arxiv…
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answeringby Jiaxiang…
A Logical Approach to Criminal Case Investigationby Takanori Ugai, Yusuke Koyanagi, Fumihito NishinoFirst submitted to…
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative…