1 citations · 1 across the 5 of their papers we have counts for
6 papers
ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction
Jiheng Liang, Chen Zhao, Di Wu +4
Cold-start drug-drug interaction (DDI) prediction tests whether models can identify clinically significant interactions for drugs without training-time interaction history. Existin…
Implicit Fine-tuning via Context Engineering: A Curriculum Learning Framework for Multimodal Entity Alignment
Yunpeng Hong, Chenyang Bu, Di Wu +2
Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different modalities. While existing methods enhance MMEA performance through black-box context engin…
PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment
Yunpeng Hong, Chenyang Bu, Jie Zhang +3
Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different data modalities, enabling structural data integration that in turn improves the performance…
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
Manzong Huang, Chenyang Bu, Yi He +1
Knowledge Graph (KG)-augmented Large Language Models (LLMs) have recently propelled significant advances in complex reasoning tasks, thanks to their broad domain knowledge and cont…
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
Rui Luo, Fei Liu, Wenhao Liang +3
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high…
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing
Haotian Zhang, Chenyang Bu, Fei Liu +3
Knowledge tracing (KT) is a fundamental task in educational data mining that mainly focuses on students' dynamic cognitive states of skills. The question-answering process of stude…