71,002 Result(s)

Article

Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation

Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that aggregate explicit social links have shown promising prospects, the...

Zhigao Zhang, Fanfei Song, Bin Wang, Chuansheng Dong in Data Science and Engineering (2024)

Article

Multi-view Heterogeneous Graph Neural Networks for Node Classification

Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Hete...

** Zeng, Fang-Yuan Lei, Chang-Dong Wang, Qing-Yun Dai in Data Science and Engineering (2024)

Article

Graph-Enhanced Prompt Learning for Personalized Review Generation

Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition of reviews. With the success of pre-trained language models...

**aoru Qu, Yifan Wang, Zhao Li, Jun Gao in Data Science and Engineering (2024)

Article

Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation

Sequential recommendation help users find interesting items by modeling the dynamic user-item interaction sequences. Due to the data sparseness problem, cross-domain sequential recommendation (CDSR) are propos...

Liu Yufang, Wang Shaoqing, Li Keke, Li Xueting, Sun Fuzhen in Data Science and Engineering (2024)

Article

Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization

The introduction of blockchain technology has brought about significant transformation in the realm of digital transactions, providing a secure and transparent platform for peer-to-peer interactions that canno...

Buti Sello, Jianming Yong, **aohui Tao in Data Science and Engineering (2024)

Article

Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs

Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from graphs. However, existing CS methods mainly concentrate on homogen...

Yuqi Li, Guosheng Zang, Chunyao Song, **aojie Yuan… in Data Science and Engineering (2024)

Article

Construct and Query A Fine-Grained Geospatial Knowledge Graph

In this paper, we propose the fine-grained geospatial knowledge graph (FineGeoKG), which can capture the neighboring relations between geospatial objects. We call such neighboring relations strong geospatial r...

Bo Wei, ** Guo, **aodi Li, Ziyan Wu, **g Zhao, Qi** Zou in Data Science and Engineering (2024)

Article

A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation

The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of cold-start user recommendations in the target domain by using the ric...

Yufang Liu, Shaoqing Wang, Xueting Li, Fuzhen Sun in Data Science and Engineering (2024)

Article

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share hom...

Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu in Data Science and Engineering (2024)

Article

Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation

Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary behaviors for user modeling, which can alleviate the problem of data...

Zhong** Zhang, Yin Jia, Yuehan Hou, **nlu Yu in Data Science and Engineering (2024)

Article

Graph Neural Network-Based Short‑Term Load Forecasting with Temporal Convolution

An accurate short-term load forecasting plays an important role in modern power system’s operation and economic development. However, short-term load forecasting is affected by multiple factors, and due to the...

Chenchen Sun, Yan Ning, Derong Shen, Tiezheng Nie in Data Science and Engineering (2024)

Article

Efficient Top-k Frequent Itemset Mining on Massive Data

Top-k frequent itemset mining (top-k FIM) plays an important role in many practical applications. It reports the k itemsets with the highest supports. Rather than the subtle minimum support threshold specified in...

**aolong Wan, **xian Han in Data Science and Engineering (2024)

Article

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph

Anomaly detection on attributed graphs is a crucial topic for practical applications. Existing methods suffer from semantic mixture and imbalance issue because they commonly optimize the model based on the los...

YanMing Hu, Chuan Chen, BoWen Deng, Yu**g Lai, Hao Lin… in Data Science and Engineering (2024)

Article

Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval

Unsupervised hashing for cross-modal retrieval has received much attention in the data mining area. Recent methods rely on image-text paired data to conduct unsupervised cross-modal hashing in batch samples. T...

Mengying Xu, Linyin Luo, Hanjiang Lai, Jian Yin in Data Science and Engineering (2024)

Article

An Overview Based on the Overall Architecture of Traffic Forecasting

With the exponential increase in the urban population, urban transportation systems are confronted with numerous challenges. Traffic congestion is common, traffic accidents happen frequently, and traffic envir...

Lilan Peng, Xuehua Liao, Tianrui Li, **angyu Guo, **u Wang in Data Science and Engineering (2024)

Article

Anomaly Detection with Sub-Extreme Values: Health Provider Billing

Anomaly detection within the context of healthcare billing requires a method or algorithm which is flexible to the practicalities and requirements of manual case review, the volumes and associated effort of wh...

Rob Muspratt, Musa Mammadov in Data Science and Engineering (2024)

Article

Welcome to a New Era of the Data Science and Engineering Journal (DSE)

Bin Cui in Data Science and Engineering (2024)

Article

Special Issue Editorial on “The Innovative Use of Data Science to Transform How We Work and Live”

Yee Ling Boo, Manik Gupta, Weijia Zhang… in Data Science and Engineering (2024)

Article

Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data

Generative adversarial networks (GANs) have demonstrated their effectiveness in generating temporal data to fill in missing values, enhancing the classification performance of time series data. Longitudinal da...

Sharon Torao **i, Duoyi Zhang, Md Abul Bashar… in Data Science and Engineering (2024)

Article

DB-GPT: Large Language Model Meets Database

Large language models (LLMs) have shown superior performance in various areas. And LLMs have the potential to revolutionize data management by serving as the "brain" of next-generation database systems. Howeve...

Xuanhe Zhou, Zhaoyan Sun, Guoliang Li in Data Science and Engineering (2024)