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OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation World Wide Web (IF 3.7) Pub Date : 2024-04-23 Weicong Tan, Weiqing Wang, Xin Zhou, Wray Buntine, Gordon Bingham, Hongzhi Yin
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GroupMO: a memory-augmented meta-optimized model for group recommendation World Wide Web (IF 3.7) Pub Date : 2024-04-18 Jiawei Hong, Wen Yang, Pingfu Chao, Junhua Fang
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Meta-path automatically extracted from heterogeneous information network for recommendation World Wide Web (IF 3.7) Pub Date : 2024-04-13 Yihao Zhang, Weiwen Liao, Yulin Wang, Junlin Zhu, Ruizhen Chen, Yunjia Zhang
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Generalizable inductive relation prediction with causal subgraph World Wide Web (IF 3.7) Pub Date : 2024-04-12 Han Yu, Ziniu Liu, Hongkui Tu, Kai Chen, Aiping Li
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Efficient processing of coverage centrality queries on road networks World Wide Web (IF 3.7) Pub Date : 2024-04-12 Yehong Xu, Mengxuan Zhang, Ruizhong Wu, Lei Li, Xiaofang Zhou
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Complex query answering over knowledge graphs foundation model using region embeddings on a lie group World Wide Web (IF 3.7) Pub Date : 2024-04-11 Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du
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Towards efficient simulation-based constrained temporal graph pattern matching World Wide Web (IF 3.7) Pub Date : 2024-04-03 Tianming Zhang, Xinwei Cai, Lu Chen, Zhengyi Yang, Yunjun Gao, Bin Cao, Jing Fan
In the context of searching a single data graph G, graph pattern matching is to find all the occurrences of a pattern graph Q in G, specified by a matching rule. It is of paramount importance in many real applications such as social network analysis and cyber security, among others. A wide spectrum of studies target general graph pattern matching. However, to analyze time-relevant services such as
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High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation World Wide Web (IF 3.7) Pub Date : 2024-03-14 Zizhong Zhu, Shuang Li, Yaokun Liu, Xiaowang Zhang, Zhiyong Feng, Yuexian Hou
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Efficient feature redundancy reduction for image denoising World Wide Web (IF 3.7) Pub Date : 2024-03-06
Abstract It is challenging to deploy convolutional neural networks (CNNs) for image denoising on low-power devices which can suffer from computational and memory constraints. To address this limitation, a simple yet effective and efficient feature redundancy reduction-based network (FRRN) is proposed in this paper, which integrates a feature refinement block (FRB), an attention fusion block (AFB),
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Group-to-group recommendation with neural graph matching World Wide Web (IF 3.7) Pub Date : 2024-03-05
Abstract Nowadays, with the development of recommender systems, an emerging recommendation scenario called group-to-group recommendation has played a vital role in information acquisition for users. The new recommendation scenario seeks to recommend a group of related items to users with similar interests. To some extent, it alleviates the problem of point-to-point recommendations getting trapped in
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Efficiently estimating node influence through group sampling over large graphs World Wide Web (IF 3.7) Pub Date : 2024-02-29 Lingling Zhang, Zhiping Shi, Zhiwei Zhang, Ye Yuan, Guoren Wang
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A relation-aware representation approach for the question matching system World Wide Web (IF 3.7) Pub Date : 2024-02-26 Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun
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A reinforcement learning-based approach to testing GUI of moblie applications World Wide Web (IF 3.7) Pub Date : 2024-02-22 Chuanqi Tao, Fengyu Wang, Yuemeng Gao, Hongjing Guo, Jerry Gao
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Sampling hypergraphs via joint unbiased random walk World Wide Web (IF 3.7) Pub Date : 2024-02-19 Qi Luo, Zhenzhen Xie, Yu Liu, Dongxiao Yu, Xiuzhen Cheng, Xuemin Lin, Xiaohua Jia
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Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method World Wide Web (IF 3.7) Pub Date : 2024-02-13 Jiawei Cai, Dong Wang, Hongyang Chen, Chenxi Liu, Zhu Xiao
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LAMEE: a light all-MLP framework for time series prediction empowering recommendations World Wide Web (IF 3.7) Pub Date : 2024-02-12 Yi Xie, Yun Xiong, Xiaofeng Gao, Jiadong Chen, Yao Zhang, Xian Wu, Chao Chen
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Path-based approximate matching of fuzzy spatiotemporal RDF data World Wide Web (IF 3.7) Pub Date : 2024-02-03 Lin Zhu, Jiajia Lu, Luyi Bai
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EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation World Wide Web (IF 3.7) Pub Date : 2024-02-03 Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, Yongheng Wang
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Invariant representation learning to popularity distribution shift for recommendation World Wide Web (IF 3.7) Pub Date : 2024-02-02
Abstract Recommender systems often suffer from severe performance drops due to popularity distribution shift (PDS), which arises from inconsistencies in item popularity between training and test data. Most existing methods aimed at mitigating PDS focus on reducing popularity bias, but they usually require inaccessible information or rely on implausible assumptions. To solve the above problem, in this
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PriMonitor: An adaptive tuning privacy-preserving approach for multimodal emotion detection World Wide Web (IF 3.7) Pub Date : 2024-02-02
Abstract The proliferation of edge computing and the Internet of Vehicles (IoV) has significantly bolstered the popularity of deep learning-based driver assistance applications. This has paved the way for the integration of multimodal emotion detection systems, which effectively enhance driving safety and are increasingly prevalent in our daily lives. However, the utilization of in-vehicle cameras
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Multi-stage dynamic disinformation detection with graph entropy guidance World Wide Web (IF 3.7) Pub Date : 2024-01-31 Xiaorong Hao, Bo Liu, Xinyan Yang, Xiangguo Sun, Qing Meng, Jiuxin Cao
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Adaptive retrofitting for industrial machines: utilizing webassembly and peer-to-peer connectivity on the edge World Wide Web (IF 3.7) Pub Date : 2024-01-25 Otoya Nakakaze, István Koren, Florian Brillowski, Ralf Klamma
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Efficient approximation and privacy preservation algorithms for real time online evolving data streams World Wide Web (IF 3.7) Pub Date : 2024-01-20
Abstract Because of the processing of continuous unstructured large streams of data, mining real-time streaming data is a more challenging research issue than mining static data. The privacy issue persists when sensitive data is included in streaming data. In recent years, there has been significant progress in research on the anonymization of static data. For the anonymization of quasi-identifiers
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Rumor blocking with pertinence set in large graphs World Wide Web (IF 3.7) Pub Date : 2024-01-20 Fangsong Xiang, Jinghao Wang, Yanping Wu, Xiaoyang Wang, Chen Chen, Ying Zhang
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Discrete cross-modal hashing with relaxation and label semantic guidance World Wide Web (IF 3.7) Pub Date : 2024-01-20 Shaohua Teng, Wenbiao Huang, Naiqi Wu, Guanglong Du, Tongbao Chen, Wei Zhang, Luyao Teng
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A novel robust memetic algorithm for dynamic community structures detection in complex networks World Wide Web (IF 3.7) Pub Date : 2024-01-17 Somayeh Ranjkesh, Behrooz Masoumi, Seyyed Mohsen Hashemi
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Knowledge-enhanced personalized hierarchical attention network for sequential recommendation World Wide Web (IF 3.7) Pub Date : 2024-01-17 Shuqi Ruan, Chao Yang, Dongsheng Li
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Privacy-preserving data publishing: an information-driven distributed genetic algorithm World Wide Web (IF 3.7) Pub Date : 2024-01-15 Yong-Feng Ge, Hua Wang, Jinli Cao, Yanchun Zhang, Xiaohong Jiang
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Enhancing bitcoin transaction confirmation prediction: a hybrid model combining neural networks and XGBoost World Wide Web (IF 3.7) Pub Date : 2023-12-26
Abstract With Bitcoin being universally recognized as the most popular cryptocurrency, more Bitcoin transactions are expected to be populated to the Bitcoin blockchain system. As a result, many transactions can encounter different confirmation delays. Concerned about this, it becomes vital to help a user understand (if possible) how long it may take for a transaction to be confirmed in the Bitcoin
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TSEE: a novel knowledge embedding framework for cyberspace security World Wide Web (IF 3.7) Pub Date : 2023-12-20 Angxiao Zhao, Zhaoquan Gu, Yan Jia, Wenying Feng, Jianye Yang, Yanchun Zhang
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Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation World Wide Web (IF 3.7) Pub Date : 2023-12-20 Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui
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UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining World Wide Web (IF 3.7) Pub Date : 2023-12-19 Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang
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Community aware graph embedding learning for item recommendation World Wide Web (IF 3.7) Pub Date : 2023-12-07 Pengyi Hao, Zhaojie Qian, Shuang Wang, Cong Bai
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Entity alignment via graph neural networks: a component-level study World Wide Web (IF 3.7) Pub Date : 2023-11-29 Yanfeng Shu, Ji Zhang, Guangyan Huang, Chi-Hung Chi, Jing He
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Cross-domain aspect-based sentiment analysis using domain adversarial training World Wide Web (IF 3.7) Pub Date : 2023-11-22 Joris Knoester, Flavius Frasincar, Maria Mihaela Truşcǎ
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Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs World Wide Web (IF 3.7) Pub Date : 2023-11-16 Weitong Chen, Wei Emma Zhang, Lin Yue
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A semantic and service-based approach for adaptive mutli-structured data curation in data lakehouses World Wide Web (IF 3.7) Pub Date : 2023-11-06 Firas Zouari, Chirine Ghedira-Guegan, Khouloud Boukadi, Nadia Kabachi
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KC-GEE: knowledge-based conditioning for generative event extraction World Wide Web (IF 3.7) Pub Date : 2023-10-25 Tongtong Wu, Fatemeh Shiri, Jingqi Kang, Guilin Qi, Gholamreza Haffari, Yuan-Fang Li
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CoSP: co-selection pick for a global explainability of black box machine learning models World Wide Web (IF 3.7) Pub Date : 2023-10-18 Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khaoula Meddahi, Allel Hadjali, Amin Mesmoudi, Khalid Benabdeslem, Souleyman Chaib
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Graph neural network for recommendation in complex and quaternion spaces World Wide Web (IF 3.7) Pub Date : 2023-10-10 Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu
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Low-cost crossed probing path planning for network failure localization World Wide Web (IF 3.7) Pub Date : 2023-10-03 Hongyun Gao, Laiping Zhao, Sheng Chen, Keqiu Li
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Securing recommender system via cooperative training World Wide Web (IF 3.7) Pub Date : 2023-10-04 Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
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A semi-supervised framework for concept-based hierarchical document clustering World Wide Web (IF 3.7) Pub Date : 2023-10-02 Seyed Mojtaba Sadjadi, Hoda Mashayekhi, Hamid Hassanpour
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An effective method for the protection of user health topic privacy for health information services World Wide Web (IF 3.7) Pub Date : 2023-09-26 Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu
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Discovering time series motifs of all lengths using dynamic time warping World Wide Web (IF 3.7) Pub Date : 2023-09-20 Zemin Chao, Hong Gao, Dongjing Miao, Hongzhi Wang
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FPGN: follower prediction framework for infectious disease prevention World Wide Web (IF 3.7) Pub Date : 2023-09-16 Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang
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Graph convolutional network for difficulty-controllable visual question generation World Wide Web (IF 3.7) Pub Date : 2023-09-11 Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang
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Efficient continuous kNN join over dynamic high-dimensional data World Wide Web (IF 3.7) Pub Date : 2023-09-11 Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Binghao Li, Wei Li, Wenjie Zhang
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Core maintenance for hypergraph streams World Wide Web (IF 3.7) Pub Date : 2023-08-25 Qi Luo, Dongxiao Yu, Zhipeng Cai, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin
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A subspace constraint based approach for fast hierarchical graph embedding World Wide Web (IF 3.7) Pub Date : 2023-08-16 Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
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Attribute prediction of spatio-temporal graph nodes based on weighted graph diffusion convolution network World Wide Web (IF 3.7) Pub Date : 2023-08-15 Linlin Ding, Haiyou Yu, Chenli Zhu, Ji Ma, Yue Zhao
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A graph neural network incorporating spatio-temporal information for location recommendation World Wide Web (IF 3.7) Pub Date : 2023-08-15 Yunliang Chen, Guoquan Huang, Yuewei Wang, Xiaohui Huang, Geyong Min
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Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset World Wide Web (IF 3.7) Pub Date : 2023-08-09 Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie
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PDA-GNN: propagation-depth-aware graph neural networks for recommendation World Wide Web (IF 3.7) Pub Date : 2023-08-08 Xinglong Wu, Hui He, Hongwei Yang, Yu Tai, Zejun Wang, Weizhe Zhang
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A large-scale holistic measurement of crowdsourced edge cloud platform World Wide Web (IF 3.7) Pub Date : 2023-08-05 Yicheng Feng, Shihao Shen, Mengwei Xu, Cheng Zhang, Xin Wang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung
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SAT: sampling acceleration tree for adaptive database repartition World Wide Web (IF 3.7) Pub Date : 2023-08-03 Xiaoxiao Xie, Shengfei Shi, Hongzhi Wang, Mohan Li
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Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning World Wide Web (IF 3.7) Pub Date : 2023-08-03 Masanori Hirano, Kiyoshi Izumi
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Course map learning with graph convolutional network based on AuCM World Wide Web (IF 3.7) Pub Date : 2023-07-29 Jianing Xia, Man Li, Yifu Tang, Shuiqiao Yang
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HURI: Hybrid user risk identification in social networks World Wide Web (IF 3.7) Pub Date : 2023-07-28 Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
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Cardinality estimation with smoothing autoregressive models World Wide Web (IF 3.7) Pub Date : 2023-07-28 Yuming Lin, Zejun Xu, Yinghao Zhang, You Li, Jingwei Zhang