activity
20212025
most citedImproving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

91 citations · 111 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MA2025★ 4 cited

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Weiqiang Jin, Hongyang Du, Shixiang Tang +2

With the rapid development of artificial intelligence, intelligent decision-making techniques have gradually surpassed human levels in various human-machine competitions, especiall…

cs.LG2024

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions

Mengying Jiang, Guizhong Liu, Yuanchao Su +2

Most existing methods for predicting drug-drug interactions (DDI) predominantly concentrate on capturing the explicit relationships among drugs, overlooking the valuable implicit c…

cs.LG2023

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction

Mengying Jiang, Guizhong Liu, Biao Zhao +2

Relation-aware graph structure embedding is promising for predicting multi-relational drug-drug interactions (DDIs). Typically, most existing methods begin by constructing a multi-…

cs.CL2023★ 15 cited

ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification

Biao Zhao, Weiqiang Jin, Javier Del Ser +1

In the era of sustainable smart agriculture, a massive amount of agricultural news text is being posted on the Internet, in which massive agricultural knowledge has been accumulate…

cs.CV2021★ 1 cited

CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector

Weiqiang Jin, Hang Yu

Due to the success of Bidirectional Encoder Representations from Transformers (BERT) in natural language process (NLP), the multi-head attention transformer has been more and more…

cs.CL2021★ 91 cited

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

Weiqiang Jin, Biao Zhao, Hang Yu +3

Knowledge Graph Question Answering (KGQA) aims to answer user-questions from a knowledge graph (KG) by identifying the reasoning relations between topic entity and answer. As a com…