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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 17
Volume 17, Number 1, January 2023
- Ting-Yun Wang, Chiao-Ting Chen
, Ju-Chun Huang, Szu-Hao Huang:
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation. 1:1-1:28 - Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng:
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection. 2:1-2:20 - Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang:
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. 3:1-3:22 - Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu:
Integrating Global and Local Feature Selection for Multi-Label Learning. 4:1-4:37 - Xinye Chen, Stefan Güttel:
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data. 5:1-5:22 - Lei Li, Mengjiao Yan, Zhenchao Tao, Huanhuan Chen, Xindong Wu:
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location. 6:1-6:26 - Zhibin Gu, Songhe Feng:
Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering. 7:1-7:21 - Roshni Chakraborty, Ritwika Das, Joydeep Chandra:
SigGAN: Adversarial Model for Learning Signed Relationships in Networks. 8:1-8:20 - Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. 9:1-9:21 - Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu:
US-Rule: Discovering Utility-driven Sequential Rules. 10:1-10:22 - Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-Concept Representation Learning for Knowledge Graph Completion. 11:1-11:19 - Nishadi Kirielle, Peter Christen, Thilina Ranbaduge:
Unsupervised Graph-Based Entity Resolution for Complex Entities. 12:1-12:30 - Soonki Kwon, Younghoon Lee:
Explainability-Based Mix-Up Approach for Text Data Augmentation. 13:1-13:14 - Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu:
Be Causal: De-Biasing Social Network Confounding in Recommendation. 14:1-14:23 - Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
A Survey on Deep Hashing Methods. 15:1-15:50
Volume 17, Number 2, February 2023
- Hung T. Nguyen, Pierre J. Liang, Leman Akoglu:
Detecting Anomalous Graphs in Labeled Multi-Graph Databases. 16:1-16:25 - Xun Lu, Songhe Feng:
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering. 17:1-17:18 - Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu:
Generative Multi-Label Correlation Learning. 18:1-18:19 - Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang:
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. 19:1-19:21 - Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu:
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations. 20:1-20:24 - Carlos Ivan Jerez, Jun Zhang, Marcia R. Silva:
On Equivalence of Anomaly Detection Algorithms. 21:1-21:26 - Nikolaos M. Freris, Ahmad Ajalloeian, Michalis Vlachos:
Interpretable Embedding and Visualization of Compressed Data. 22:1-22:22 - Shaokang Wang, Li Pan, Yu Wu:
Meta-Information Fusion of Hierarchical Semantics Dependency and Graph Structure for Structured Text Classification. 23:1-23:18 - Xuliang Zhu, Xin Huang, Longxu Sun, Jiming Liu:
A Novel Graph Indexing Approach for Uncovering Potential COVID-19 Transmission Clusters. 24:1-24:24 - Adham Atyabi, Frederick Shic, Jiajun Jiang, Claire E. Foster, Erin Barney, Minah Kim, Beibin Li, Pamela Ventola, Chung-Hao Chen:
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. 25:1-25:20 - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Probabilistic Time-series Forecasting. 26:1-26:30 - Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy:
Supervised Contrastive Learning for Interpretable Long-Form Document Matching. 27:1-27:17 - Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, Christos Faloutsos:
DeltaShield: Information Theory for Human- Trafficking Detection. 28:1-28:27 - Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. 29:1-29:37 - Xiaoye Miao, Huanhuan Peng, Yunjun Gao, Zongfu Zhang, Jianwei Yin:
On Dynamically Pricing Crowdsourcing Tasks. 30:1-30:27
Volume 17, Number 3, April 2023
- Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han:
GRACE: A General Graph Convolution Framework for Attributed Graph Clustering. 31:1-31:31 - Penglong Zhai, Shihua Zhang:
Learnable Graph-Regularization for Matrix Decomposition. 32:1-32:20 - Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li:
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. 33:1-33:19 - Tao Feng, Sirui Song, Tong Xia, Yong Li:
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. 34:1-34:24 - Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou:
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. 35:1-35:27 - Qiang Long, Adil M. Bagirov, Sona Taheri, Nargiz Sultanova, Xue Wu:
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison. 36:1-36:54 - Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu:
ONP-Miner: One-off Negative Sequential Pattern Mining. 37:1-37:24 - Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni:
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning. 38:1-38:22 - Linli Jiang, Chaoxiong Chen, Chao Chen:
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data. 39:1-39:25 - Yihong Zhang, Takahiro Hara:
Explainable Integration of Social Media Background in a Dynamic Neural Recommender. 40:1-40:14 - Yashen Wang, Zhaoyu Wang, Huanhuan Zhang, Zhirun Liu:
Microblog Retrieval Based on Concept-Enhanced Pre-Training Model. 41:1-41:32 - Xuemei Wei, Ye-Zheng Liu, Jianshan Sun, Yuanchun Jiang, Qifeng Tang, Kun Yuan:
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks. 42:1-42:28 - Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward:
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks. 43:1-43:21 - Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia:
Multiple Imputation Ensembles for Time Series (MIE-TS). 44:1-44:28 - Dongjie Li, Dong Li, Guang Lian:
Variational Graph Autoencoder with Adversarial Mutual Information Learning for Network Representation Learning. 45:1-45:18
Volume 17, Number 4, May 2023
- Gongqing Wu, Liangzhu Zhou, Jiazhu Xia, Lei Li, Xianyu Bao, Xindong Wu:
Crowdsourcing Truth Inference Based on Label Confidence Clustering. 46:1-46:20 - Dhruv Sehnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty:
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks. 47:1-47:33 - Jinlong E, Mo Li, Jianqiang Huang:
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System. 48:1-48:24 - Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao:
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning. 49:1-49:20 - Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. 50:1-50:26 - Kazuki Nakajima, Kazuyuki Shudo:
Random Walk Sampling in Social Networks Involving Private Nodes. 51:1-51:28 - Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné:
Lifelong Online Learning from Accumulated Knowledge. 52:1-52:23 - Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong:
Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference. 53:1-53:22 - Shuai Ling, Zhe Yu, Shaosheng Cao, Haipeng Zhang, Simon Hu:
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships. 54:1-54:23 - Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi:
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. 55:1-55:24 - Zhi Liu, Yang Chen, Feng Xia, Jixin Bian, Bing Zhu, Guojiang Shen, Xiangjie Kong:
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning. 56:1-56:25 - Lei Chen, Jie Cao, Haicheng Tao, Jia Wu:
Trip Reinforcement Recommendation with Graph-based Representation Learning. 57:1-57:20 - Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. 58:1-58:28 - Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu:
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. 59:1-59:23 - Yizong Wang, Dong Zhao, Yajie Ren, Desheng Zhang, Huadong Ma:
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City. 60:1-60:25
Volume 17, Number 5, June 2023
- Dandan Lin, Victor Junqiu Wei, Raymond Chi-Wing Wong:
Effective and Scalable Manifold Ranking-Based Image Retrieval with Output Bound. 61:1-61:31 - Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li:
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. 62:1-62:35 - Mengran Li, Yong Zhang, Xiaoyong Li, Yuchen Zhang, Baocai Yin:
Hypergraph Transformer Neural Networks. 63:1-63:22 - Haoran Li, Zhiqiang Lv, Jianbo Li, Zhihao Xu, Yue Wang, Haokai Sun, Zhaoyu Sheng:
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation. 64:1-64:28 - Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu:
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. 65:1-65:26 - Jun-Gi Jang, U Kang:
Static and Streaming Tucker Decomposition for Dense Tensors. 66:1-66:34 - Meng Wang, Boyu Li, Kun He, John E. Hopcroft:
Uncovering the Local Hidden Community Structure in Social Networks. 67:1-67:25 - Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong:
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. 68:1-68:24 - Yuyang Ren, Haonan Zhang, Peng Yu, Luoyi Fu, Xinde Cao, Xinbing Wang, Guihai Chen, Fei Long, Chenghu Zhou:
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization. 69:1-69:23 - Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu:
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. 70:1-70:23 - Zhijie Zhang, Wenzhong Li, Wangxiang Ding, Linming Zhang, Qingning Lu, Peng Hu, Tong Gui, Sanglu Lu:
STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks. 71:1-71:18 - Hongxin Wu, Meng Han, Zhiqiang Chen, Muhang Li, Xilong Zhang:
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream. 72:1-72:21 - Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen:
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search. 73:1-73:21 - Yufu Chen, Yanghui Rao, Shurui Chen, Zhiqi Lei, Haoran Xie, Raymond Y. K. Lau, Jian Yin:
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. 74:1-74:30 - Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu, Sensen Zhang, Zhiying Li:
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. 75:1-75:25
Volume 17, Number 6, July 2023
- Xiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi:
Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach. 76:1-76:24 - Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun:
Triadic Closure Sensitive Influence Maximization. 77:1-77:26 - Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato:
Bavarian: Betweenness Centrality Approximation with Variance-aware Rademacher Averages. 78:1-78:47 - Zeinab S. Jalali, Qilan Chen, Shwetha M. Srikanta, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan:
Fairness of Information Flow in Social Networks. 79:1-79:26 - Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. 80:1-80:22 - Wenjie Feng, Shenghua Liu, Xueqi Cheng:
Hierarchical Dense Pattern Detection in Tensors. 81:1-81:29 - Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang:
GEO: A Computational Design Framework for Automotive Exterior Facelift. 82:1-82:20 - Karandeep Singh, SeungEon Lee, Giuseppe (Joe) Labianca, Jesse Michael Fagan, Meeyoung Cha:
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction. 83:1-83:20 - Sixing Su, Jiewen Guan, Bilian Chen, Xin Huang:
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection. 84:1-84:21 - Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou:
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding. 85:1-85:35 - Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao:
Summarizing User-item Matrix By Group Utility Maximization. 86:1-86:22 - Peikun Ni, Jianming Zhu, Guoqing Wang:
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks. 87:1-87:25 - Jinjun Ren, Yuping Wang, Xiyan Deng:
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems. 88:1-88:26 - Lei Li, Zhiyuan Liu, Zan Zhang, Huanhuan Chen, Xindong Wu:
Three-way Preference Completion via Preference Graph. 89:1-89:19 - Rashid Hussain Khokhar, Benjamin C. M. Fung, Farkhund Iqbal, Khalil Al-Hussaeni, Mohammed Hussain:
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data. 90:1-90:30
Volume 17, Number 7, August 2023
- Mimi Zhang, Andrew Parnell:
Review of Clustering Methods for Functional Data. 91:1-91:34 - Ling Chen, Dandan Lyu, Shanshan Yu, Gencai Chen:
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos. 92:1-92:18 - Wanyue Xu, Zhongzhi Zhang:
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time. 93:1-93:19 - Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan:
Causal Disentanglement for Implicit Recommendations with Network Information. 94:1-94:18 - Yihong Zhang, Xiu Susie Fang, Takahiro Hara:
Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs. 95:1-95:17 - Huiru Li, Liangxiao Jiang, Siqing Xue:
Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing. 96:1-96:18 - He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Deshuang Huang, Shaojie Qiao, Jaesoo Yoo:
DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction. 97:1-97:19 - Boxiang Zhao, Shuliang Wang, Lianhua Chi, Qi Li, Xiaojia Liu, Jing Geng:
Causal Discovery via Causal Star Graphs. 98:1-98:24 - Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu:
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. 99:1-99:20 - Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty. 100:1-100:27 - Yuhui Guo, Xun Liang, Bo Wu, Xiangping Zheng, Xuan Zhang:
Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. 101:1-101:19 - Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting. 102:1-102:23 - Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su:
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor. 103:1-103:19 - Sensen Zhang, Xun Liang, Hui Tang, Xiangping Zheng, Alex X. Zhang, Yuefeng Ma:
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding. 104:1-104:19 - Hao Wang, Bin Guo, Jiaqi Liu, Yasan Ding, Zhiwen Yu:
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph. 105:1-105:25
Volume 17, Number 8, September 2023
- Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. 106:1-106:18 - Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet:
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams. 107:1-107:36 - Linrui Shi, Zheng Zhang, Zizhu Fan, Chao Xi, Zhengming Li, Gaochang Wu:
Kernel Fisher Dictionary Transfer Learning. 108:1-108:17 - Heli Sun, Miaomiao Sun, Xuechun Liu, Linlin Zhu, Liang He, Xiaolin Jia, Yuan Chen:
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding. 109:1-109:19 - Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. 110:1-110:23 - Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo:
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. 111:1-111:22 - Zohair Raza Hassan, Sarwan Ali, Imdadullah Khan, Mudassir Shabbir, Waseem Abbas:
Computing Graph Descriptors on Edge Streams. 112:1-112:25 - Gerardo Canfora, Francesco Mercaldo, Antonella Santone:
A Novel Classification Technique based on Formal Methods. 113:1-113:30 - Bei Lin, You Li, Ning Gui, Zhuopeng Xu, Zhiwu Yu:
Multi-view Graph Representation Learning Beyond Homophily. 114:1-114:21 - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
Modeling Regime Shifts in Multiple Time Series. 115:1-115:31 - Dan Shi, Lei Zhu, Xiao Dong, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection. 116:1-116:25 - Hao Zhang, Yewei Xia, Kun Zhang, Shuigeng Zhou, Jihong Guan:
Conditional Independence Test Based on Residual Similarity. 117:1-117:18 - Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang:
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. 118:1-118:21 - Xi Qin, Cheng Zhong, Hai-Xiang Lin:
Community-Based Influence Maximization Using Network Embedding in Dynamic Heterogeneous Social Networks. 119:1-119:21 - Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng:
Contrastive Learning Based Graph Convolution Network for Social Recommendation. 120:1-120:21
Volume 17, Number 9, November 2023
- Liang Zhang, Cheng Long:
Road Network Representation Learning: A Dual Graph-based Approach. 121:1-121:25 - Tahir Syed, Behroz Mirza:
Self-supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext. 122:1-122:17 - Xiaona Li, Zhu Wang, Xindong Chen, Bin Guo, Zhiwen Yu:
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information. 123:1-123:22 - Junjie Ou, Haiming Jin, Xiaocheng Wang, Hao Jiang, Xinbing Wang, Chenghu Zhou:
STA-TCN: Spatial-temporal Attention over Temporal Convolutional Network for Next Point-of-interest Recommendation. 124:1-124:19 - Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu:
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. 125:1-125:20 - Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang:
Accurate Open-Set Recognition for Memory Workload. 126:1-126:14 - Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung:
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs. 127:1-127:34 - Haoran Chen, Xu Chen, Hongwei Tao, Zuhe Li, Xiao Wang:
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering. 128:1-128:18 - Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen:
TechPat: Technical Phrase Extraction for Patent Mining. 129:1-129:31 - Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu:
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation. 130:1-130:27 - Zhiwen Yu, Minling Dang, Qilong Wu, Liming Chen, Yujin Xie, Yu Wang, Bin Guo:
An Information Theory Based Method for Quantifying the Predictability of Human Mobility. 131:1-131:19 - Maryam Ramezani, Aryan Ahadinia, Amirmohammad Ziaei Bideh, Hamid R. Rabiee:
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization. 132:1-132:28 - Yandi Li, Haobo Gao, Yunxuan Gao, Jianxiong Guo, Weili Wu:
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization. 133:1-133:50 - Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu:
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. 134:1-134:28 - Siyuan Ren, Bin Guo, Ke Li, Qianru Wang, Qinfen Wang, Zhiwen Yu:
CoupledGT: Coupled Geospatial-temporal Data Modeling for Air Quality Prediction. 135:1-135:21
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