TitleAuthors
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training DataXiaoqing Geng, Xiwen Chen, Kenny Zhu, Libin Shen and Yinggong Zhao
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement LearningHuichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng and Yong Yu
Towards Plausible Differentially Private ADMM Based Distributed Machine LearningJiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi and Miao Pan
Describing and Predicting Online Items with Resharing Cascades via Dual Mixture Self-exciting ProcessesQuyu Kong, Marian-Andrei Rizoiu and Lexing Xie
Efficient Sampling Algorithms for Approximate Temporal Motif CountingJingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li and Kian-Lee Tan
Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial CrowdsourcingChenxi Qiu, Anna Squicciarini, Zhouzhao Li, Ce Pang and Li Yan
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk PredictionMuchao Ye, Junyu Luo, Cao Xiao and Fenglong Ma
VN Network: Embedding Newly Emerging Entities with Virtual NeighborsYongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu and Zhaochun Ren
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsBenedek Rozemberczki and Rik Sarkar
WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social NetworksBay-Yuan Hsu, Chih-Ya Shen and Ming-Yi Chang
Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-Based Sentiment AnalysisBin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He and Ruifeng Xu
Hybrid Sequential Recommender via Time-aware Attentive Memory NetworkWendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen and Alexandra Cristea
NHP: Neural Hypergraph Link PredictionNaganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis and Partha Talukdar
Cooperative Multi-Agent Reinforcement Learning in Express SystemYexin Li, Yu Zheng and Qiang Yang
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional NetworksXianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra and Suhang Wang
Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies DetectionRuiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang and Taoyu Li
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow PredictionJunjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang and Xinbing Wang
NagE: Non-Abelian Group Embedding for Knowledge GraphsTong Yang, Long Sha and Pengyu Hong
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI RecommendationXiang Hui Nicholas Lim, Bryan Kuen Yew Hooi, See Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng and Jagannadan Varadarajan
PSTIE: Time Information Enhanced Personalized SearchZhengyi Ma, Zhicheng Dou, Guanyue Bian and Ji-Rong Wen
Incremental and Parallel Computation of Structural Graph Summaries for Evolving GraphsTill Blume, David Richerby and Ansgar Scherp
Personalized Imputation on Wearable-Sensory Time Series via Knowledge TransferXian Wu, Stephen Mattingly, Shayan Mirjafari, Chao Huang and Nitesh Chawla
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal FusionYangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou and Xiaocui Li
Shapley Values and Meta-Explanations for Probabilistic Graphical Model InferenceYifei Liu, Chao Chen, Yazheng Liu, Xi Zhang and Sihong Xie
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network ApproachBo Hui, Da Yan, Wei-Shinn Ku and Wenlu Wang
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot LearningJing Zhang, Yangli-Ao Geng, Qingyong Li and Chuan Shi
Attacking Recommender Systems with Augmented User ProfilesChen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li and Qian Yang
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local ConsistenciesChangchun Li, Ximing Li and Jihong Ouyang
Selecting Influential Features by a Learnable Content-Aware Linear Threshold ModelAnsh Khurana, Alvis Logins and Panagiotis Karras
Privacy-Preserving Classification with Secret Vector MachinesValentin Hartmann, Konark Modi, Josep M. Pujol and Robert West
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge GraphYunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan and Xueqi Cheng
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph EmbeddingChang Gao, Chengjie Sun, Lili Shan and Lei Lin
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information DetectionTian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang and Binxing Fang
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information NetworksZhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang and Jingping Bi
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoderMengnan Du, Shiva Pentyala, Yuening Li and Xia Hu
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural NetworkCan Li, Lei Bai, Wei Liu, Lina Yao and Travis Waller
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow ForecastingBin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu and Haisong Zhang
Logic Enhanced Commonsense Inference with Chain TransformerChenxi Yuan, Chun Yuan, Yang Bai and Ziran Li
Semi-Supervised Max-Sum ClusteringKonstantin Voevodski
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationWanyu Chen, Pengjie Ren, Fei Cai, Fei Sun and Maarten de Rijke
Carpe Diem, Seize the Samples Uncertain “at the Moment” for Adaptive Batch SelectionHwanjun Song, Minseok Kim, Sundong Kim and Jae-Gil Lee
Top-k Graph Summarization on Hierarchical DAGsXuliang Zhu, Xin Huang, Byron Choi and Jianliang Xu
Recommending Inferior Results: A General and Feature-Free Model for Spam DetectionYuli Liu
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender SystemsMaurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi and Dietmar Jannach
Efficient Knowledge Graph Validation via Cross-Graph Representation LearningYaqing Wang, Fenglong Ma and Jing Gao
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged FraudstersYingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng and Philip Yu
Opinion-aware Answer Generation for Review-driven Question Answering in E-CommerceYang Deng, Wenxuan Zhang and Wai Lam
Learning Graph-Based Geographical Latent Representation for Point-of-Interest RecommendationBuru Chang, Gwanghoon Jang, Seoyoon Kim and Jaewoo Kang
E-Commerce Dispute Resolution PredictionDavid Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy and Dafna Shahaf
Personalized Re-ranking with Item Relationships for E-commerceWeiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He and Pheng Ann Heng
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingLiu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky and Marc Najork
Soap: Soaking Capacity Optimization for Multi-Document SummarizationKexiang Wang, Baobao Chang and Zhifang Sui
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on NetworksZemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang and Steven Hoi
Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order RewritingAziz Amezian El Khalfioui, Jonathan Joertz, Dorian Labeeuw, Gaëtan Staquet and Jef Wijsen
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate PredictionFarhan Khawar, Hang Xu, Ruiming Tang, Bin Liu, Zhenguo Li and Xiuqiang He
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile CrowdsourcingWei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou and Yan Wang
Diversifying Search Results using Self-Attention NetworkXubo Qin, Zhicheng Dou and Jirong Wen
Offline evaluation by maximum similarity to an ideal rankingCharles Clarke, Mark Smucker and Alexandra Vtyurina
Efficient Detection of Data Dependency ViolationsEduardo Henrique Monteiro Pena, Edson Ramiro Lucas Filho, Eduardo Cunha de Almeida and Felix Naumann
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative FilteringFeng Yuan, Lina Yao and Boualem Benatallah
Ranking Enhanced Dialogue GenerationChangying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo and Xueqi Cheng
Explainable Recommender Systems via Resolving Learning RepresentationsNinghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen and Soo-Hyun Choi
Deep Time-Aware Item Evolution Network for Click-Through Rate PredictionXiang Li, Chao Wang, Bin Tong, Jiwei Tan, Xiaoyi Zeng and Tao Zhuang
Succinct Adaptive Manifold TransferPengfei Wei, Yiping Ke, Zhiqiang Xu and Tze Yun Leong
Graph Prototypical Networks for Few-shot Learning on Attributed NetworksKaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu and Huan Liu
Graph Few-shot Learning with Attribute MatchingNing Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li and Qinghua Zheng
G-CREWE: Graph CompREssion With Embedding for Network AlignmentKai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann and Danai Koutra
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor FactorizationHsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Jui-Yi Tsai and Wang-Chien Lee
Quaternion-based self-Attentive Long Short-term User Preference Encoding for RecommendationThanh Tran, Di You and Kyumin Lee
TGCN: Tag Graph Convolutional Network for Tag-Aware RecommendationBo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He and Dong Wang
Feature Selection on Data Stream via Multi-Cluster Structure PreservationRui Ma, Yijie Wang and Li Cheng
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching NetworkShuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow PredictionSenzhang Wang, Hao Miao, Hao Chen and Zhiqiu Huang
A Graph Matching Attack on Privacy-Preserving Record LinkageAnushka Vidanage, Peter Christen, Thilina Ranbaduge and Rainer Schnell
News Recommendation with Topic-Enriched Knowledge GraphsDongho Lee, Byungkook Oh, Seungmin Seo and Kyong-Ho Lee
A Topic and Concept Integrated Model for Thread Recommendation in Online Health CommunitiesMingda Li, Weiting Gao and Yi Chen
Unsupervised Cyberbullying Detection via Time-Informed Deep ClusteringLu Cheng, Kai Shu, Siqi Wu, Yasin Silva, Deborah Hall and Huan Liu
Social Factors in Closed-Network Content ConsumptionParisa Kaghazgaran, Maarten Bos, Leonardo Neves and Neil Shah
Logical Structure Representation Learning with Graph Embedding for Personalized Product SearchShang Liu, Wanli Gu, Gao Cong and Fuzheng Zhang
Controllable Multi-Character Psychology-Oriented Story GenerationFeifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou and Haizhou Du
Query Understanding via Intent Description GenerationRuqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for RecommendationJingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He and Xu Chu
Star Graph Neural Networks for Session-based RecommendationZhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen and Maarten de Rijke
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow ForecastingXiyue Zhang, Chao Huang, Yong Xu and Lianghao Xia
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data CleaningCheng Feng, Xiao Liang, Daniel Schneegass and Pengwei Tian
Neural Formatting for Spreadsheet TablesHaoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han and Dongmei Zhang
Fast Attributed Multiplex Heterogeneous Network EmbeddingZhijun Liu, Chao Huang, Yanwei Yu, Baode Fan and Junyu Dong
Dynamic Representation Learning for Large-Scale Attributed NetworksZhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan and Junyu Dong
Continuous-Time Dynamic Graph Learning via Neural Interaction ProcessesXiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song and Yuan Qi
Multi-modal Knowledge Graphs for Recommender SystemsRui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang and Kai Zheng
Image Captioning with Internal and External KnowledgeFeicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang and Huifang Ma
Neural Logical PredictionShaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang and Yongfeng Zhang
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural NetworkJunyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen
Adaptive-Step Graph Meta-Learner for Few-Shot Graph ClassificationNing Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou and Xifeng Yan
DE-RRD: A Knowledge Distillation Framework for Recommender SystemSeongku Kang, Junyoung Hwang, Wonbin Kweon and Hwanjo Yu
tdGraphEmbed: Temporal Dynamic Graph-Level EmbeddingMoran Beladev, Lior Rokach, Gilad Katz, Ido Guy and Kira Radinsky
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information MaximizationKun Zhou, Hui Wang, Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-rong Wen
Learning from Textual Data in Database SystemsMichael Günther, Philipp Oehme, Maik Thiele and Wolfgang Lehner
Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text MiningChien Lu, Jaakko Peltonen, Jyrki Nummenmaa and Kalervo Järvelin
Learning Better Representations for Neural Information Retrieval with Graph InformationXiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang and Shaoping Ma
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge GraphsGarima Gaur, Arnab Bhattacharya and Srikanta Bedathur
CSNE: Conditional Signed Network EmbeddingAlexandru Cristian Mara, Yoosof Mashayekhi, Jefrey Lijffijt and Tijl De Bie
Quality-Aware Ranking of ArgumentsLorik Dumani and Ralf Schenkel
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction TasksHaobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu and Haibin Cai
Evaluating Stochastic Rankings with Expected ExposureFernando Diaz, Bhaskar Mitra, Michael Ekstrand, Asia J. Biega and Ben Carterette
Streaming Graph Neural Networks via Continual LearningJunshan Wang, Guojie Song, Yi Wu and Liang Wang
UPON: User Profile Transferring across NetworksMengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao and Huafeng Cao
Knowledge Graph Embedding Preserving Soft Logical RegularityShu Guo, Lin Li, Zhen Hui, Bingnan Ma, Wei Liu, Lihong Wang, Lingshuai Meng, Haibin Zhai and Hong Zhang
Feature Fusion Based Subgraph Classification for Link PredictionZheyi Liu, Darong Lai, Chuanyou Li and Meng Wang
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue SystemsKai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan and Lu Zhang
Anomaly Subgraph Detection with Feature TransferYing Sun, Nannan Wu, Wenjun Wang, Wei Yu and Xue Chen
TPR: Text-aware Preference Ranking for Recommender SystemsYu-Neng Chuang, Chih-Ming Chen, Yuan Fang, Ee Peng Lim, Chuan-Ju Wang and Ming-Feng Tsai
Seed-free Graph De-anonymiztiation with Adversarial LearningKaiyang Li, Guoming Lu, Guangchun Luo and Zhipeng Cai
Deep Graph Convolutional Networks for Incident-driven Traffic Speed PredictionQinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang and Ben Y. Zhao
A Closer Look into Task Relationship: A Topic-Wise Multi-Task Sparsity ModelJiasheng Zhang and Dongwon Lee
EPNet: Learning to Exit with Flexible Multi-Branch NetworkXin Dai, Xiangnan Kong and Tian Guo
Schema2QA: Answering Complex Queries on the Structured Web with a Neural ModelSilei Xu, Giovanni Campagna, Jian Li and Monica Lam
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI PredictionSonggaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang and Yue Ning
A methodology based on Deep Q-Learning/Genetic Algorithms for optimizing COVID-19 pandemic government actionsLuis Miralles, Fernando Jiménez Barrionuevo, Hiram Ponce and Lourdes Martinez-Villaseñor
Semi-Supervised Graph-to-Graph TranslationTianxiang Zhao, Xianfeng Tang, Xiang Zhang and Suhang Wang
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness ClassificationXi Wang, Iadh Ounis and Craig Macdonald
Error-bounded Graph Anomaly Loss for GNNsTong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang and Meng Jiang
Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive AttributesShen Yan, Hsien-Te Kao and Emilio Ferrara
GraSeq: Graph and Sequence Fusion Learning for Molecular Property PredictionZhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang and Nitesh Chawla
Robust Temporal PARAFAC2 for Irregular Tensor Factorization and Completion for Temporal Health Data AnalysisYifei Ren, Jian Lou, Li Xiong and Joyce Ho
A Feature-Importance-Aware and Robust Aggregator for GCNLi Zhang and Haiping Lu
Laconic Image Classification: Human vs. Machine PerformanceJavier Carrasco, Aidan Hogan and Jorge Pérez
Modelling User Behavior Dynamics with EmbeddingsLei Han, Alessandro Checco, Djellel Difallah, Gianluca Demartini and Shazia Sadiq
Ensemble Block Co-clustering: a Unified Framework for Text DataSeverine Affeldt, Lazhar Labiod and Mohamed Nadif
GNNVis: Visualize Large-Scale Data by Learning a Graphical Neural Network RepresentationYiyang Yang, Jingbin Zhang, Yajun Huang, Zhiguo Gong and Zhifeng Hao
OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly DetectionHaolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi and Xuyun Zhang
An Adaptive Embedding Framework for Heterogeneous Information NetworksDaoyuan Chen, Yaliang Li, Bolin Ding and Ying Shen
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech DetectionGuanyi Mou, Pengyi Ye and Kyumin Lee
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data StreamsAmila Silva, Shanika Karunasekera, Christopher Leckie and Ling Luo
Generating Neural Template Explanations for RecommendationLei Li, Yongfeng Zhang and Li Chen
E-commerce Recommendation with Weighted Expected UtilityZhichao Xu, Yi Han, Yongfeng Zhang and Qingyao Ai
RKT : Relation-Aware Self-Attention for Knowledge TracingShalini Pandey and Jaideep Srivastava
Zero-Shot Retrieval of Images from Textual DescriptionsAnurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh and Saptarshi Ghosh
DisenHAN: Disentangled Heterogeneous Graph Attention Network for RecommendationYifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang and Ming Zhang
Learning to Distract: A Hierarchical Multi-Decoder Network for Automatic Generation of Long Distractors for Reading ComprehensionKaushal Kumar Maurya and Maunendra Sankar Desarkar
Corpus Bootstrapping for Assessment of the Accuracy of Effectiveness MeasuresJustin Zobel and Lida Rashidi
Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue SystemsZhenxin Fu, Shaobo Cui, Feng Ji, Ji Zhang, Haiqing Chen, Dongyan Zhao and Rui Yan
Examining the Additivity of Top-k Query Processing InnovationsJoel Mackenzie and Alistair Moffat
Relational Reflection Entity AlignmentXin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu and Man Lan
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution PredictionYichen Yao, Guozheng Li, Yujie Chen, Rongqi Li, Yinzhi Zhou, Xiaodong Zhang, Haoyuan Hu and Yinhui Xu
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment AnalysisErik Cambria, Soujanya Poria, Frank Xing, Kenneth Kwok and Yang Li
Trapping Malicious Crawlers in Social NetworksShiju Li, Chul-Ho Lee and Do Young Eun
Deep Generative Positive-Unlabeled Learning under Selection BiasByeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim and Il-Chul Moon
When Structure Meets Keywords: Cohesive Attributed Community SearchYuanyuan Zhu, Jian He, Junhao Ye, Lu Qin, Xin Huang and Jeffrey Xu Yu
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer LearningHao-Yi Chih, Yao-Chung Fan, Wen-Chih Peng and Hai-Yuan Kuo
Attributed Network Embedding based on Mutual Information EstimationXiaomin Liang, Daifeng Li and Andrew Madden
An NVM SSD-Optimized Query Processing FrameworkXinyu Liu, Yu Pan, Yusen Li, Gang Wang and Xiaoguang Liu
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering NetworksMeng Liu, Jianjun Li, Guohui Li and Peng Pan
Cross-sentence N-ary Relation Extraction using Entity Link and Discourse RelationSanghak Lee, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee, Donghoon Shin and Yeonsoo Lee
Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice QuestionsZhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu and Jun Zhao
ST-GRAT: A Spatio-Temporal Graph Attention Network for Traffic ForecastingCheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko and Jaegul Choo
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information NetworkZhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui and Yong Li
Uncovering Semantic Bias in Neural Network Models Using a Knowledge GraphAndriy Nikolov and Mathieu D’Aquin
Partial Relationship Aware Influence Diffusion via Multi-channel Encoding Scheme for Social RecommendationBo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin and Lu Jiang
Providing Direct Answers in Search Results: A Study of User BehaviorZhijing Wu, Mark Sanderson, B. Barla Cambazoglu, Bruce Croft and Falk Scholer
Learning to Selectively Update State Neurons in Recurrent NetworksThomas Hartvigsen, Cansu Sen, Xiangnan Kong and Elke Rundensteiner
Generating Categories for Sets of EntitiesShuo Zhang, Krisztian Balog and Jamie Callan
EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during DisastersShalini Priya, Apoorva Upadhyaya, Manish Bhanu, Sourav Kumar Dandapat and Joydeep Chandra
“Keep it Simple, Lazy” — MetaLazy: a New MetaStrategy for Lazy Text ClassificationLuiz Felipe Mendes, Marcos Goncalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa and Wellington Martins
Hierarchical Active Learning with Overlapping RegionsZhipeng Luo and Milos Hauskrecht
The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph CompletionIti Bansal, Sudhanshu Tiwari and Carlos R. Rivero
Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic DetectionHongyu Liu, Ruifang He, Haocheng Wang and Bo Wang
A GAN-based Framework for Modeling Hashtag Popularity Dynamics using Assistive InformationAvirup Saha and Niloy Ganguly
Minimal Edit-Based Diffs for Large TreesMateusz Pawlik and Nikolaus Augsten
Extracting N-ary Facts from Wikipedia Table ClustersBenno Kruit, Peter Boncz and Jacopo Urbani
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time PrecisionJulien Leblay, Melisachew Wudage Chekol and Xin Liu
Mining Infrequent High-Quality Phrases from Domain-Specific CorporaLi Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie and Yanghua Xiao
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network EmbeddingDakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold and Yanjie Fu
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to RankAli Vardasbi, Harrie Oosterhuis and Maarten de Rijke
Robust Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query VariantsAnirban Chakraborty, Debasis Ganguly and Owen Conlan
Fast and Scalable Outlier Detection with Sorted HypercubesEugenio Cabral and Robson Cordeiro
Hypergraph Random Walks, Laplacians, and ClusteringKoby Hayashi, Haesun Park, Sinan G. Aksoy and Cheong Hee Park
Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution EnvironmentJinjin Shao, Shiyu Ji, Alvin Oliver Glova, Yifan Qiao, Tao Yang and Tim Sherwood
Spectral Relaxations and Fair Densest SubgraphsAris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini and Chris Schwiegelshohn
Matching in Selective and Balanced Representation Space for Treatment Effects EstimationZhixuan Chu, Stephen Rathbun and Sheng Li
CAFE: Coarse-to-Fine Knowledge Graph Reasoning for E-Commerce RecommendationYikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang
Meta-Learning for Neural Relation Classification with Distant SupervisionZhenzhen Li, Jian-Yun Nie, Benyou Wang, Meng Qu, Pan Du, Dongsheng Li and Lixin Zou
Meta-context Aware Random Walks for Heterogeneous Network Representation LearningJyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju and Wei Wang
Bringing Order to Network Embedding: A Relative Ranking based ApproachYaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu and Jian Lu
CommDGI: Community Detection Oriented Deep Graph InfomaxTianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao and Yangyong Zhu
Do People and Neural Networks Pay Attention to the Same Words? Studying Eye-tracking Data for Non-factoid QA EvaluationValeriya Bolotova-Baranova, Vladislav Blinov, Yukun Zheng, Mark Sanderson, Falk Scholer and Bruce Croft
Whole-Chain RecommendationsXiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Jiliang Tang and Hui Liu
OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted SensorsLi Tang and Haibo Hu
FANG: Leveraging Social Context for Fake News Detection Using Graph RepresentationVan-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov and Min-Yen Kan
Continual Domain Adaptation for Machine Reading ComprehensionLixin Su, Jiafeng Guo, Ruqing Zhang, Fan Yixing, Yanyan Lan and Xueqi Cheng
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro and Gianluca Demartini
MERL: Multi-View Edge Representation Learning in Social NetworksYi-Yu Lai and Jennifer Neville
Learning to personalize for web search sessionsSaad Aloteibi and Stephen Clark