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World Wide Web

Ausgabe 6/2023

Inhalt (20 Artikel)

Graph convolutional network for difficulty-controllable visual question generation

Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang

Open Access

Efficient continuous kNN join over dynamic high-dimensional data

Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Binghao Li, Wei Li, Wenjie Zhang

Open Access

FPGN: follower prediction framework for infectious disease prevention

Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang

Discovering time series motifs of all lengths using dynamic time warping

Zemin Chao, Hong Gao, Dongjing Miao, Hongzhi Wang

An effective method for the protection of user health topic privacy for health information services

Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu

A semi-supervised framework for concept-based hierarchical document clustering

Seyed Mojtaba Sadjadi, Hoda Mashayekhi, Hamid Hassanpour

Low-cost crossed probing path planning for network failure localization

Hongyun Gao, Laiping Zhao, Sheng Chen, Keqiu Li

Securing recommender system via cooperative training

Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen

Graph neural network for recommendation in complex and quaternion spaces

Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu

CoSP: co-selection pick for a global explainability of black box machine learning models

Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khaoula Meddahi, Allel Hadjali, Amin Mesmoudi, Khalid Benabdeslem, Souleyman Chaib

Open Access

KC-GEE: knowledge-based conditioning for generative event extraction

Tongtong Wu, Fatemeh Shiri, Jingqi Kang, Guilin Qi, Gholamreza Haffari, Yuan-Fang Li

A semantic and service-based approach for adaptive mutli-structured data curation in data lakehouses

Firas Zouari, Chirine Ghedira-Guegan, Khouloud Boukadi, Nadia Kabachi

Cross-domain aspect-based sentiment analysis using domain adversarial training

Joris Knoester, Flavius Frasincar, Maria Mihaela Truşcǎ

Open Access

Entity alignment via graph neural networks: a component-level study

Yanfeng Shu, Ji Zhang, Guangyan Huang, Chi-Hung Chi, Jing He

Community aware graph embedding learning for item recommendation

Pengyi Hao, Zhaojie Qian, Shuang Wang, Cong Bai

UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining

Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang

TSEE: a novel knowledge embedding framework for cyberspace security

Angxiao Zhao, Zhaoquan Gu, Yan Jia, Wenying Feng, Jianye Yang, Yanchun Zhang

Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation

Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui

Open Access

Enhancing bitcoin transaction confirmation prediction: a hybrid model combining neural networks and XGBoost

Limeng Zhang, Rui Zhou, Qing Liu, Jiajie Xu, Chengfei Liu, Muhammad Ali Babar