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ACM Transactions on Knowledge Discovery from Data, Volume 15
Volume 15, Number 1, January 2021
- Hao Wang
, Shuai Ding, Yeqing Li, Xiaojian Li, Youtao Zhang:
Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization. 1:1-1:17 - Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. 2:1-2:44 - Yu Huang
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. 3:1-3:32 - Michael J. Siers, Md Zahidul Islam
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity. 4:1-4:31 - Hong Huang, Yu Song, Fanghua Ye
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. 5:1-5:27 - Yue Hu, Daniel B. Work:
Robust Tensor Recovery with Fiber Outliers for Traffic Events. 6:1-6:27 - Xiaoyan Zhu, Yingbin Li, Jiayin Wang, Tian Zheng, Jingwen Fu:
Automatic Recommendation of a Distance Measure for Clustering Algorithms. 7:1-7:22 - Giulia Bernardini
Combinatorial Algorithms for String Sanitization. 8:1-8:34 - Ryan A. Rossi, Nesreen K. Ahmed
Heterogeneous Graphlets. 9:1-9:43 - Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. 10:1-10:23 - Guangxu Xun
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. 11:1-11:14 - Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. 12:1-12:24 - Ricardo de Azevedo Brandão
A Reduced Network Traffic Method for IoT Data Clustering. 13:1-13:23
Volume 15, Number 2, April 2021
Survey Paper
- Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, Paolo Merialdo:
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. 14:1-14:49
- Chainarong Amornbunchornvej
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income. 15:1-15:30 - Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo, Vincent Ng:
Recommending Statutes: A Portable Method Based on Neural Networks. 16:1-16:22 - Yashen Wang, Huanhuan Zhang:
HARP: A Novel Hierarchical Attention Model for Relation Prediction. 17:1-17:22 - Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. 18:1-18:26 - Chongshou Li
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting. 19:1-19:32 - Youcef Djenouri
Trajectory Outlier Detection: New Problems and Solutions for Smart Cities. 20:1-20:28 - Kafeng Wang, Haoyi Xiong
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. 21:1-21:21 - Radim Belohlávek, Martin Trnecka:
The 8M Algorithm from Today's Perspective. 22:1-22:22 - En Xu
Core Interest Network for Click-Through Rate Prediction. 23:1-23:16 - Aindrila Ghosh, Mona Nashaat
Context-Based Evaluation of Dimensionality Reduction Algorithms - Experiments and Statistical Significance Analysis. 24:1-24:40 - Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo
Heterogeneous Network Approach to Predict Individuals' Mental Health. 25:1-25:26 - Zhengze Zhou, Giles Hooker:
Unbiased Measurement of Feature Importance in Tree-Based Methods. 26:1-26:21 - Matthew Almeida, Yong Zhuang, Wei Ding
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. 27:1-27:18 - Mario Andrés Muñoz, Tao Yan, Matheus R. Leal, Kate Smith-Miles, Ana Carolina Lorena, Gisele L. Pappa, Rômulo Madureira Rodrigues:
An Instance Space Analysis of Regression Problems. 28:1-28:25 - Michele Coscia
Noise Corrected Sampling of Online Social Networks. 29:1-29:21 - Georg Steinbuss, Klemens Böhm:
Generating Artificial Outliers in the Absence of Genuine Ones - A Survey. 30:1-30:37 - Yi Zhu
Stacked Convolutional Sparse Auto-Encoders for Representation Learning. 31:1-31:21 - Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin:
Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition. 32:1-32:23 - Unai Garciarena
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. 33:1-33:23
Volume 15, Number 3, April 2021
- Shi Ying, Bingming Wang, Lu Wang, Qingshan Li, Yishi Zhao, Jianga Shang, Hao Huang, Guoli Cheng, Zhe Yang, Jiangyi Geng:
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples. 34:1-34:22 - Andrea De Salve
Predicting Influential Users in Online Social Network Groups. 35:1-35:50 - Hong Xie
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference. 36:1-36:29 - Zheng Zhang
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval. 37:1-37:22 - Kijung Shin
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. 38:1-38:30 - Sezin Kircali Ata, Yuan Fang
Multi-View Collaborative Network Embedding. 39:1-39:18 - Wei Wang
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. 40:1-40:19 - Luyi Bai
TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion. 41:1-41:17 - Jingjing Wang, Wenjun Jiang
Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks. 42:1-42:33 - Guanhao Wu, Xiaofeng Gao, Ge Yan, Guihai Chen
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network. 43:1-43:21 - Lei Yang, Xi Yu, Jiannong Cao, Xuxun Liu, Pan Zhou:
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services. 44:1-44:23 - Lin Cheng
GGATB-LSTM: Grouping and Global Attention-based Time-aware Bidirectional LSTM Medical Treatment Behavior Prediction. 45:1-45:16 - Xueyan Liu
A Scalable Redefined Stochastic Blockmodel. 46:1-46:28 - Yan Liu, Bin Guo, Daqing Zhang, Djamal Zeghlache, Jingmin Chen, Ke Hu, Sizhe Zhang, Dan Zhou, Zhiwen Yu:
Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation. 47:1-47:27 - Muhammad Anis Uddin Nasir, Çigdem Aslay
TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs. 48:1-48:35 - Chen Lin
Preserve Integrity in Realtime Event Summarization. 49:1-49:29 - Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. 50:1-50:21 - Haida Zhang, Zengfeng Huang
Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information. 51:1-51:31 - Nils Barlaug
Neural Networks for Entity Matching: A Survey. 52:1-52:37 - Chen Chen
Fast Connectivity Minimization on Large-Scale Networks. 53:1-53:25
Volume 15, Number 4, June 2021
- Yunzhe Wang
A Layout-Based Classification Method for Visualizing Time-Varying Graphs. 54:1-54:24 - Yi Ouyang, Bin Guo, Xing Tang
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. 55:1-55:21 - Fadi Dornaika
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification. 56:1-56:11 - Yanni Li, Bing Liu, Yongbo Yu, Hui Li
3E-LDA: Three Enhancements to Linear Discriminant Analysis. 57:1-57:20 - Tianzi Zang
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction. 58:1-58:20 - Nesreen K. Ahmed
Online Sampling of Temporal Networks. 59:1-59:27 - Huan Zhao
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. 60:1-60:32 - Daokun Zhang, Jie Yin, Xingquan Zhu
Search Efficient Binary Network Embedding. 61:1-61:27 - Guojie Song, Yun Wang, Lun Du
Network Embedding on Hierarchical Community Structure Network. 62:1-62:23 - Kui Yu, Lin Liu
A Unified View of Causal and Non-causal Feature Selection. 63:1-63:46 - Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin:
Robust Image Representation via Low Rank Locality Preserving Projection. 64:1-64:22 - Georg Steinbuss
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. 65:1-65:20 - Mingkai Lin
SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks. 66:1-66:21 - Chainarong Amornbunchornvej
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. 67:1-67:30 - Peike Xia, Wenjun Jiang
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level. 68:1-68:29 - Suhansanu Kumar, Hari Sundaram:
Attribute-Guided Network Sampling Mechanisms. 69:1-69:24 - Negin Ghasemi, Ramin Fatourechi, Saeedeh Momtazi
User Embedding for Expert Finding in Community Question Answering. 70:1-70:16 - Ruidong Yan
A Stochastic Algorithm Based on Reverse Sampling Technique to Fight Against the Cyberbullying. 71:1-71:22 - Juan-Hui Li, Ling Huang, Chang-Dong Wang
Attributed Network Embedding with Micro-Meso Structure. 72:1-72:26 - Benhui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. 73:1-73:25
Volume 15, Number 5, June 2021
- Liuyi Yao
A Survey on Causal Inference. 74:1-74:46 - Wissam Al Jurdi
Critique on Natural Noise in Recommender Systems. 75:1-75:30
- Quang-Huy Duong
Density Guarantee on Finding Multiple Subgraphs and Subtensors. 76:1-76:32 - Paul Burkhardt
Optimal Algebraic Breadth-First Search for Sparse Graphs. 77:1-77:19 - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Graph Neural Networks for Fast Node Ranking Approximation. 78:1-78:32 - Lorenzo De Stefani, Erisa Terolli, Eli Upfal:
Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams. 79:1-79:52 - Josef Bauer, Dietmar Jannach:
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models. 80:1-80:37 - Seyed-Vahid Sanei-Mehri, Apurba Das, Hooman Hashemi, Srikanta Tirthapura:
Mining Largest Maximal Quasi-Cliques. 81:1-81:21 - Wensheng Gan, Jerry Chun-Wei Lin
Utility Mining Across Multi-Dimensional Sequences. 82:1-82:24 - Shaoyang Hao, Bin Guo, Hao Wang
DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. 83:1-83:16 - Jianxiong Guo
Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed. 84:1-84:23 - Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu:
Dual-Embedding based Deep Latent Factor Models for Recommendation. 85:1-85:24 - Shalini Sharma
Sequential Transform Learning. 86:1-86:18 - Kai Liu
Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models. 87:1-87:26 - Xiang Ling
Deep Graph Matching and Searching for Semantic Code Retrieval. 88:1-88:21 - Hao Peng
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. 89:1-89:33 - Lin Yue, Hao Shen, Sen Wang
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. 90:1-90:20 - Huawen Liu
Anomaly Detection With Kernel Preserving Embedding. 91:1-91:18
- Bo Liu, Xi He, Mingdong Song, Jianqiang Li, Guangzhi Qu, Jianlei Lang, Rentao Gu:
A Method for Mining Granger Causality Relationship on Atmospheric Visibility. 92:1-92:16
Volume 15, Number 6, July 2021
- Dipanjyoti Paul
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset. 93:1-93:24 - Federico Coro
Link Recommendation for Social Influence Maximization. 94:1-94:23 - Xiaofeng Gao, Wenyi Xu, Mingding Liao, Guihai Chen:
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity. 95:1-95:30 - Marco Bressan
Faster Motif Counting via Succinct Color Coding and Adaptive Sampling. 96:1-96:27 - Shaoning Zeng, Bob Zhang
Fast and Robust Dictionary-based Classification for Image Data. 97:1-97:22 - Chenglin Li
Similarity Embedding Networks for Robust Human Activity Recognition. 98:1-98:17 - Paramita Koley
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. 99:1-99:25 - Mikel Joaristi, Edoardo Serra
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. 100:1-100:39 - Man Wu, Shirui Pan, Lan Du
Learning Graph Neural Networks with Positive and Unlabeled Nodes. 101:1-101:25 - Dongsheng Li
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. 102:1-102:20 - Jinliang Deng
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. 103:1-103:25 - Yashen Wang, Huanhuan Zhang, Zhirun Liu, Qiang Zhou:
Hierarchical Concept-Driven Language Model. 104:1-104:22 - Julián Alarte
Page-Level Main Content Extraction From Heterogeneous Webpages. 105:1-105:105 - Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling. 106:1-106:28 - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
Online Tensor-Based Learning Model for Structural Damage Detection. 107:1-107:18 - Rui Wang
On Modeling Influence Maximization in Social Activity Networks under General Settings. 108:1-108:28 - Zhe Chen
Incremental Community Detection on Large Complex Attributed Network. 109:1-109:20 - Tong Xia
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. 110:1-110:21 - Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
Factor-Bounded Nonnegative Matrix Factorization. 111:1-111:18 - Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. 112:1-112:21
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