Ausgabe 5/2023
Inhalt (67 Artikel)
Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment
Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li
GC-TripRec: Graph contextualized generative network with adversarial learning for trip recommendation
Jinyi Zhao, Junhua Fang, Pingfu Chao, Bo Ning, Ruoqian Zhang
Metacognition-driven user-to-project recommendation for online education services
Zezheng Wu, Haonan Jiang, Xinghe Cheng, Haotian Huang, Qing Yang, Jingwei Zhang
Robust website fingerprinting through resource loading sequence
Changzhi Li, Lihai Nie, Laiping Zhao, Keqiu Li
CAB: a combinatorial-auction-and-bargaining-based federated learning incentive mechanism
Bo Xu, Lilin Zuo, Jiayi Jin, Liang Han, Kun Hu
NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation
Nan Jiang, Zihao Hu, Jie Wen, Jiahui Zhao, Weihao Gu, Ziang Tu, Ximeng Liu, Yuanyuan Li, Jianfei Gong, Fengtao Lin
Spatiotemporal data management and analytics for recommender systems
Shuo Shang, Xiangliang Zhang, Panos Kalnis
A DRL-based online VM scheduler for cost optimization in cloud brokers
Xingjia Li, Li Pan, Shijun Liu
Efficient maintenance of highway cover labelling for distance queries on large dynamic graphs
Muhammad Farhan, Qing Wang
A performant and incremental algorithm for knowledge graph entity typing
Zepeng Li, Rikui Huang, Minyu Zhai, Zhenwen Zhang, Bin Hu
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning
Ronghua Lin, Feiyi Tang, Chaobo He, Zhengyang Wu, Chengzhe Yuan, Yong Tang
A novel cross-network node pair embedding methodology for anchor link prediction
Huanran Wang, Wu Yang, Dapeng Man, Wei Wang, Jiguang Lv, Meng Joo Er
Few-shot named entity recognition with hybrid multi-prototype learning
Zenghua Liao, Junbo Fei, Weixin Zeng, Xiang Zhao
DFedSN: Decentralized federated learning based on heterogeneous data in social networks
Yikuan Chen, Li Liang, Wei Gao
Contextual semantic embeddings for ontology subsumption prediction
Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
Knowledge-graph-enabled biomedical entity linking: a survey
Jiyun Shi, Zhimeng Yuan, Wenxuan Guo, Chen Ma, Jiehao Chen, Meihui Zhang
DeepApp: characterizing dynamic user interests for mobile application recommendation
Yunji Liang, Lei Liu, Luwen Huangfu, Zhu Wang, Bin Guo
Persistent graph stream summarization for real-time graph analytics
Yan Jia, Zhaoquan Gu, Zhihao Jiang, Cuiyun Gao, Jianye Yang
Personalized sampling graph collection with local differential privacy for link prediction
Linyu Jiang, Yukun Yan, Zhihong Tian, Zuobin Xiong, Qilong Han
Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training
Yilei Wang, Qingzhe Lv, Huang Zhang, Minghao Zhao, Yuhong Sun, Lingkai Ran, Tao Li
An efficient privacy-preserving blockchain storage method for internet of things environment
Dayu Jia, Guanghong Yang, Min Huang, Junchang Xin, Guoren Wang, George Y. Yuan
GANAD: A GAN-based method for network anomaly detection
Jie Fu, Lina Wang, Jianpeng Ke, Kang Yang, Rongwei Yu
On-chain repairing for multi-party data migration
Wenchao Jiang, Weiqi Dai, Qiwen Lv, Dongjun Ning, Sui Lin
A stealthy and robust backdoor attack via frequency domain transform
Ruitao Hou, Teng Huang, Hongyang Yan, Lishan Ke, Weixuan Tang
HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series
Haicheng Tao, Jiawei Miao, Lin Zhao, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao
Towards more effective encoders in pre-training for sequential recommendation
Ke Sun, Tieyun Qian, Ming Zhong, Xuhui Li
Quaternion-based graph convolution network for recommendation
Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
An empirical study of pre-trained language models in simple knowledge graph question answering
Nan Hu, Yike Wu, Guilin Qi, Dehai Min, Jiaoyan Chen, Jeff Z Pan, Zafar Ali
Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion
Haojie Nie, Xiangguo Zhao, Xin Bi, Yuliang Ma, George Y. Yuan
Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning
Ben Liu, Miao Peng, Wenjie Xu, Min Peng
Transfer learning based cascaded deep learning network and mask recognition for COVID-19
Fengyin Li, Xiaojiao Wang, Yuhong Sun, Tao Li, Junrong Ge
HTSE: hierarchical time-surface model for temporal knowledge graph embedding
Langjunqing Jin, Feng Zhao, Hai Jin
Empowering reciprocal recommender system using contextual bandits and argumentation based explanations
Tulika Kumari, Bhavna Gupta, Ravish Sharma, Punam Bedi
Phrase-level attention network for few-shot inverse relation classification in knowledge graph
Shaojuan Wu, Chunliu Dou, Dazhuang Wang, Jitong Li, Xiaowang Zhang, Zhiyong Feng, Kewen Wang, Sofonias Yitagesu
Soft dimensionality reduction for reinforcement data clustering
Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot
A novel semantic-aware search scheme based on BCI-tree index over encrypted cloud data
Qian Zhou, Hua Dai, Yuanlong Liu, Geng Yang, Xun Yi, Zheng Hu
Explanation-based data-free model extraction attacks
Anli Yan, Ruitao Hou, Hongyang Yan, Xiaozhang Liu
Coral: federated query join order optimization based on deep reinforcement learning
Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang
FPGNN: Fair path graph neural network for mitigating discrimination
Guixian Zhang, Debo Cheng, Shichao Zhang
SSDLog: a semi-supervised dual branch model for log anomaly detection
Siyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang
A tractable temporal description logic for reasoning fuzzy spatiotemporal knowledge
Haitao Cheng, Zongmin Ma
Adaptive self-propagation graph convolutional network for recommendation
Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu
Hybrid Enhancement-based prototypical networks for few-shot relation classification
Lei Wang, Jianfeng Qu, Tianyu Xu, Zhixu Li, Wei Chen, Jiajie Xu, Lei Zhao
Editor’s note: Special issue on knowledge-graph-enabled methods and applications for the future web
Xin Wang, Jeff Z. Pan, Qingpeng Zhang, Yuan-Fang Li
Anomaly and change point detection for time series with concept drift
Jiayi Liu, Donghua Yang, Kaiqi Zhang, Hong Gao, Jianzhong Li
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation
Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao
TFPA: A traceable federated privacy aggregation protocol
Xingyu Li, Yucheng Long, Li Hu, Xin Tan, Jin Li
Aspect sentiment quadruple extraction based on the sentence-guided grid tagging scheme
Linan Zhu, Yinwei Bao, Minhao Xu, Jianxin Li, Zhechao Zhu, Xiangjie Kong
Efficiently computing alternative paths in game maps
Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, Huan Li
Integrating fine-grained attention into multi-task learning for knowledge tracing
Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang
Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations
Makoto Nakatsuji, Yuka Ozeki, Shuhei Tateishi, Yoshihisa Kano, QingPeng Zhang
Structure-adaptive graph neural network with temporal representation and residual connections
Xin Bi, Qingling Jiang, Zhixun Liu, Xin Yao, Haojie Nie, George Y. Yuan, Xiangguo Zhao, Yongjiao Sun
HURI: Hybrid user risk identification in social networks
Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
Cardinality estimation with smoothing autoregressive models
Yuming Lin, Zejun Xu, Yinghao Zhang, You Li, Jingwei Zhang
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information
Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, Flora D. Salim
Course map learning with graph convolutional network based on AuCM
Jianing Xia, Man Li, Yifu Tang, Shuiqiao Yang
SAT: sampling acceleration tree for adaptive database repartition
Xiaoxiao Xie, Shengfei Shi, Hongzhi Wang, Mohan Li
Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning
Masanori Hirano, Kiyoshi Izumi
A large-scale holistic measurement of crowdsourced edge cloud platform
Yicheng Feng, Shihao Shen, Mengwei Xu, Cheng Zhang, Xin Wang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung
PDA-GNN: propagation-depth-aware graph neural networks for recommendation
Xinglong Wu, Hui He, Hongwei Yang, Yu Tai, Zejun Wang, Weizhe Zhang
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset
Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie
A graph neural network incorporating spatio-temporal information for location recommendation
Yunliang Chen, Guoquan Huang, Yuewei Wang, Xiaohui Huang, Geyong Min
Attribute prediction of spatio-temporal graph nodes based on weighted graph diffusion convolution network
Linlin Ding, Haiyou Yu, Chenli Zhu, Ji Ma, Yue Zhao
A subspace constraint based approach for fast hierarchical graph embedding
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
Core maintenance for hypergraph streams
Qi Luo, Dongxiao Yu, Zhipeng Cai, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin