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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 36
Volume 36, Number 1, January 2024
- Armin Danesh Pazho
, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi:
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems. 1-20 - Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng:
A Unified Framework for Contextual and Factoid Question Generation. 21-34 - An-An Liu, Haochun Lu, Heyu Zhou, Tian-Bao Li, Mohan S. Kankanhalli:
Balanced Class-Incremental 3D Object Classification and Retrieval. 35-48 - Zhiwen Yu, Zhijie Zhong, Kaixiang Yang, Wenming Cao, C. L. Philip Chen:
Broad Learning Autoencoder With Graph Structure for Data Clustering. 49-61 - Xiaocao Ouyang, Yan Yang, Wei Zhou, Yiling Zhang, Hao Wang, Wei Huang:
CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities. 62-76 - Liangshao Hou, Delin Chu, Li-Zhi Liao:
Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization. 77-89 - Zhihao Shen, Shun Li, Xi Zhao, Jianhua Zou:
CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on Smartphones. 90-106 - Xiaolong Wan, Xixian Han, Jinbao Wang, Jianzhong Li:
Efficient Discovery of Functional Dependencies on Massive Data. 107-121 - Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng:
Efficient Privacy-Preserving Spatial Data Query in Cloud Computing. 122-136 - Efrén Rama-Maneiro, Juan Carlos Vidal, Manuel Lama:
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring. 137-151 - Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang:
Exploiting Group-Level Behavior Pattern for Session-Based Recommendation. 152-166 - Huan Rong, Gongchi Chen, Tinghuai Ma, Victor S. Sheng, Elisa Bertino:
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level. 167-183 - Yu Liu, Qian Ge, Wei Luo, Qiang Huang, Lei Zou, Haixu Wang, Xin Li, Chang Liu:
GraphMM: Graph-Based Vehicular Map Matching by Leveraging Trajectory and Road Correlations. 184-198 - Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu:
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. 199-210 - Lianwei Wu, Pusheng Liu, Yongqiang Zhao, Peng Wang, Yanning Zhang:
Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection. 211-225 - Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu:
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. 226-238 - Lei Zhu, Chaoqun Zheng, Weili Guan, Jingjing Li, Yang Yang, Heng Tao Shen:
Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey. 239-260 - Haonan Zhang, Yuyang Ren, Luoyi Fu, Xinbing Wang, Guihai Chen, Chenghu Zhou:
Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation. 261-274 - Yixin Chen, Di Jiang, Conghui Tan, Yuanfeng Song, Chen Jason Zhang, Lei Chen:
Neural Moderation of ASMR Erotica Content in Social Networks. 275-280 - Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Neural Similarity Search on Supergraph Containment. 281-295 - Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu:
PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization. 296-310 - Byungjin Cho, Yu Xiao, Pan Hui, Daoyi Dong:
Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment. 311-317 - Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. 318-334 - Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. 335-355 - Fan Zhang, Haicheng Guo, Dian Ouyang, Shiyu Yang, Xuemin Lin, Zhihong Tian:
Size-Constrained Community Search on Large Networks: An Effective and Efficient Solution. 356-371 - Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu:
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. 372-385 - Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu:
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. 386-400 - Zeyu Wang, Zhenying He, Peng Wang, Yang Wang, Wei Wang:
Static and Streaming Discovery of Maximal Linear Representation Between Time Series. 401-415 - Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-Supervised Universal Graph Classification. 416-428 - Junfan Huang, Peipei Kang, Na Han, Yonghao Chen, Xiaozhao Fang, Hongbo Gao, Guoxu Zhou:
Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. 429-444 - Li Liu, Penggang Chen, Xin Li, William Kwok-Wai Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. 445-458
Volume 36, Number 2, February 2024
- Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. 459-474 - Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. 475-489 - Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin:
Differentiable and Scalable Generative Adversarial Models for Data Imputation. 490-503 - Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen, Nicolas Saunier, Lijun Sun:
Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression. 504-517 - Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang:
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. 518-529 - Donghao Zhang, Zhenyu Liu, Weiqiang Jia, Fei Wu, Hui Liu, Jianrong Tan:
Dual Attention Graph Convolutional Network for Relation Extraction. 530-543 - Pan Li, Maofei Que, Alexander Tuzhilin:
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. 544-555 - Yalan Qin, Nan Pu, Hanzhou Wu:
Elastic Multi-View Subspace Clustering With Pairwise and High-Order Correlations. 556-568 - Tianyang Xie, Yong Ge:
Enhance Knowledge Graph Embedding by Mixup. 569-580 - Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li:
Ensemble Clustering With Attentional Representation. 581-593 - Tianyu Xu, Jianfeng Qu, Wen Hua, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao, Xiaofang Zhou:
Evidence Reasoning and Curriculum Learning for Document-Level Relation Extraction. 594-607 - Jian Zeng, Leong Hou U, Xiao Yan, Yan Li, Mingji Han, Bo Tang:
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs. 608-626 - Yu Sun, Shaoxu Song, Xiaojie Yuan:
From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair. 627-639 - Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li:
GNN Cleaner: Label Cleaner for Graph Structured Data. 640-651 - Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. 652-667 - Yuanbo Xu, En Wang, Yongjian Yang, Hui Xiong:
GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems. 668-681 - Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. 682-693 - Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Integrated Personalized and Diversified Search Based on Search Logs. 694-707 - Yan Leng, Tara Sowrirajan, Yujia Zhai, Alex Pentland:
Interpretable Stochastic Block Influence Model: Measuring Social Influence Among Homophilous Communities. 708-714 - Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan:
Multi-Modal Knowledge Graph Construction and Application: A Survey. 715-735 - Wei Zhang, Zhaohong Deng, Te Zhang, Kup-Sze Choi, Shitong Wang:
Multi-View Fuzzy Representation Learning With Rules Based Model. 736-749 - Reinald Adrian Pugoy, Hung-Yu Kao:
NEAR: Non-Supervised Explainability Architecture for Accurate Review-Based Collaborative Filtering. 750-765 - Yuechen Tao, Bo Li, Baochun Li:
On Atomicity and Confidentiality Across Blockchains Under Failures. 766-780 - Man Zhang, Xinghua Li, Yinbin Miao, Bin Luo, Yanbing Ren, Siqi Ma:
PEAK: Privacy-Enhanced Incentive Mechanism for Distributed -Anonymity in LBS. 781-794 - Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang:
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. 795-808 - Yifu Tang, Jianxin Li, Nur Al Hasan Haldar, Ziyu Guan, Jiajie Xu, Chengfei Liu:
Reliability-Driven Local Community Search in Dynamic Networks. 809-822 - Li Ni, Junnan Ge, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Semi-Supervised Local Community Detection. 823-839 - Chunyu Liu, Wei Wu, Siyu Wu, Lu Yuan, Rui Ding, Fuhui Zhou, Qihui Wu:
Social-Enhanced Explainable Recommendation With Knowledge Graph. 840-853 - Yuxin Yao, Eann A. Patterson, Richard J. Taylor:
The Influence of Digital Technologies on Knowledge Management in Engineering: A Systematic Literature Review. 854-867 - Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. 868-881 - Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool:
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. 882-896 - Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Wei Zheng, Peipei Kang, Na Han, Shengli Xie:
Two-Step Strategy for Domain Adaptation Retrieval. 897-912 - Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. 913-926
Volume 36, Number 3, March 2024
- Bin Luo, Xinghua Li, Ximeng Liu, Jingjing Guo, Yanbing Ren, Siqi Ma, Jianfeng Ma:
$D^{2}MTS$: Enabling Dependable Data Collection With Multiple Crowdsourcers Trust Sharing in Mobile Crowdsensing. 927-942 - Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai:
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. 943-959 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. 960-971 - Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. 972-986 - Shijie Zhang, Wei Yuan, Hongzhi Yin:
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. 987-999 - Yao Tian, Xi Zhao, Xiaofang Zhou:
DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing. 1000-1015 - Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. 1016-1029 - Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang:
Distance Information Improves Heterogeneous Graph Neural Networks. 1030-1043 - Jiancheng Du, Yang Gao:
Domain Adaptation and Summary Distillation for Unsupervised Query Focused Summarization. 1044-1055 - Hongbin Zhang, Qixin Zhang, Feng Wu, Yu Yang:
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints. 1056-1068 - Renjie Sun, Yanping Wu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs. 1069-1083 - Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang:
Efficient Classification by Removing Bayesian Confusing Samples. 1084-1098 - Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang:
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. 1099-1112 - Dingqi Yang, Bingqing Qu, Paolo Rosso, Philippe Cudré-Mauroux:
Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs. 1113-1129 - Zhi Chen, Jiang Duan, Li Kang, Hongyan Xu, Rui Chen, Guoping Qiu:
Generating Counterfactual Instances for Explainable Class-Imbalance Learning. 1130-1144 - Kai Yao, Lijun Chang, Lu Qin:
Identifying Large Structural Balanced Cliques in Signed Graphs. 1145-1160 - Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. 1161-1169 - Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang:
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction. 1170-1182 - Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu:
Learning Idempotent Representation for Subspace Clustering. 1183-1197 - Shiou-Chi Li, Jen-Wei Huang:
Let the Information Fly: Reconstructing Social Network After a Node Deleted. 1198-1209 - Mei Zhang, Yong-Dao Zhou, Zheng Zhou, Aijun Zhang:
Model-Free Subsampling Method Based on Uniform Designs. 1210-1220 - Lianhong Wang, Xiaoyao Li, Zhihui Luo, Zinan Hu, Qing Yan:
Multivariate Cognitive Response Framework for Student Performance Prediction on MOOC. 1221-1233 - Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. 1234-1248 - Giulio Ermanno Pibiri, Roberto Trani:
Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash. 1249-1259 - Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou:
Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. 1260-1273 - Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, Xuelong Li:
Refining Codes for Locality Sensitive Hashing. 1274-1284 - Zeli Guan, Yawen Li, Zhenhui Pan, Yuxin Liu, Zhe Xue:
RFDG: Reinforcement Federated Domain Generalization. 1285-1298 - Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang:
Sample Efficient Offline-to-Online Reinforcement Learning. 1299-1310 - Yanting Yin, Yajing Wu, Xuebing Yang, Wensheng Zhang, Xiaojie Yuan:
Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction. 1311-1327 - Delvin Ce Zhang, Hady W. Lauw:
Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter. 1328-1340 - Dimitrios Tsitsigkos, Panagiotis Bouros, Konstantinos Lampropoulos, Nikos Mamoulis, Manolis Terrovitis:
Two-Layer Space-Oriented Partitioning for Non-Point Data. 1341-1355 - Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. 1356-1370 - Yuyan Chen, Yanghua Xiao, Zhixu Li, Bang Liu:
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. 1371-1384
Volume 36, Number 4, April 2024
- Changan Liu, Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang:
A Fast Algorithm for Moderating Critical Nodes via Edge Removal. 1385-1398 - Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup:
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. 1399-1412 - Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge Enhanced Pre-Trained Language Models. 1413-1430 - Yupian Lin, Tong Ruan, Jingping Liu, Haofen Wang:
A Survey on Neural Data-to-Text Generation. 1431-1449 - Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. 1450-1462 - Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du:
Clustering Ensemble via Diffusion on Adaptive Multiplex. 1463-1474 - Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv:
Continuous-Time User Preference Modelling for Temporal Sets Prediction. 1475-1488 - Alec F. Diallo, Paul Patras:
Deciphering Clusters With a Deterministic Measure of Clustering Tendency. 1489-1501 - Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. 1502-1517 - Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches. 1518-1536