2 citations · 4 across the 14 of their papers we have counts for
15 papers
DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion
Wei Huang, Meiyu Liang, Peining Li +5
Most current MKGC approaches are predominantly based on discriminative models that maximize conditional likelihood. These approaches struggle to efficiently capture the complex con…
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
Relation Extraction Model Based on Semantic Enhancement Mechanism
Peiyu Liu, Junping Du, Yingxia Shao +1
Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields…
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion
Runze Fang, Yawen Li, Yingxia Shao +2
The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most ent…
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network
Hongrui Gao, Yawen Li, Meiyu Liang +2
Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, t…
Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Tianyu Zhao, Junping Du, Yingxia Shao +1
Federated learning is a distributed machine learning technology, which realizes the balance between data privacy protection and data sharing computing. To protect data privacy, fed…
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
Jie Gao, Yawen Li, Zhe Xue +1
The storage, management, and application of massive spatio-temporal data are widely used in practical scenarios, including public safety. However, due to the unique spatio-temporal…
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property
Yuxin Liu, Yawen Li, Yingxia Shao +1
In the age of big data, the demand for hidden information mining in technological intellectual property is increasing in discrete countries. Definitely, a considerable number of gr…
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents
Runze Fang, Junping Du, Yingxia Shao +1
The relation triples extraction method based on table filling can address the issues of relation overlap and bias propagation. However, most of them only establish separate table f…
Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information
Hongrui Gao, Yawen Li, Meiyu Liang +1
Since most scientific literature data are unlabeled, this makes unsupervised graph-based semantic representation learning crucial. Therefore, an unsupervised semantic representatio…
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
Tianyu Zhao, Junping Du, Zhe Xue +2
Text sentiment analysis, also known as opinion mining, is research on the calculation of people's views, evaluations, attitude and emotions expressed by entities. Text sentiment an…
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network
Chengjie Ma, Junping Du, Yingxia Shao +2
We provide a simple and general solution for the discovery of scarce topics in unbalanced short-text datasets, namely, a word co-occurrence network-based model CWIBTD, which can si…
Chinese Word Sense Embedding with SememeWSD and Synonym Set
Yangxi Zhou, Junping Du, Zhe Xue +2
Word embedding is a fundamental natural language processing task which can learn feature of words. However, most word embedding methods assign only one vector to a word, even if po…
Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency
Jie Gao, Junping Du, Yingxia Shao +2
Shared travel has gradually become one of the hot topics discussed on social networking platforms such as Micro Blog. In a timely manner, deeper network community detection on the…
Research on Domain Information Mining and Theme Evolution of Scientific Papers
Changwei Zheng, Zhe Xue, Meiyu Liang +2
In recent years, with the increase of social investment in scientific research, the number of research results in various fields has increased significantly. Cross-disciplinary res…