KDD 2019: all accepted papers
- Optuna ↗Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al.8,406 citations
- KGAT ↗Xiang Wang, Xiangnan He, Yixin Cao et al.2,147 citations
- Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network ↗Ya Su, Youjian Zhao, Chenhao Niu et al.1,683 citations
- Heterogeneous Graph Neural Network ↗Chuxu Zhang, Dongjin Song, Chao Huang et al.1,490 citations
- Cluster-GCN ↗Wei-Lin Chiang, Xuanqing Liu, Si Si et al.1,247 citations
- Auto-Keras: An Efficient Neural Architecture Search System ↗Haifeng Jin, Qingquan Song, Xia Hu891 citations
- Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks ↗Srijan Kumar, Xikun Zhang, Jure Leskovec692 citations
- Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems ↗Hongwei Wang, Fuzheng Zhang, Mengdi Zhang et al.647 citations
- dEFEND ↗Kai Shu, Limeng Cui, Suhang Wang et al.604 citations
- Time-Series Anomaly Detection Service at Microsoft ↗Hansheng Ren, Bixiong Xu, Yujing Wang et al.588 citations
- Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning ↗Zheyi Pan, Yuxuan Liang, Weifeng Wang et al.559 citations
- Representation Learning for Attributed Multiplex Heterogeneous Network ↗Yukuo Cen, Xu Zou, Jianwei Zhang et al.465 citations
- Deep Anomaly Detection with Deviation Networks ↗Guansong Pang, Chunhua Shen, Anton van den Hengel439 citations
- Robust Graph Convolutional Networks Against Adversarial Attacks ↗Dingyuan Zhu, Ziwei Zhang, Peng Cui et al.430 citations
- PressLight ↗Hua Wei, Chacha Chen, Guanjie Zheng et al.420 citations
- MeLU ↗Hoyeop Lee, Jinbae Im, Seongwon Jang et al.363 citations
- Fairness in Recommendation Ranking through Pairwise Comparisons ↗Alex Beutel, Jilin Chen, Tulsee S Doshi et al.362 citations
- Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation ↗Shaohua Fan, Junxiong Zhu, Xiaotian Han et al.354 citations
- Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search ↗Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi350 citations
- NPA ↗Chuhan Wu, Fangzhao Wu, Mingxiao An et al.326 citations
- Hierarchical Gating Networks for Sequential Recommendation ↗Chen Ma, Peng Kang, Xue Liu322 citations
- Graph Convolutional Networks with EigenPooling ↗Yao Ma, Suhang Wang, Charų C. Aggarwal et al.320 citations
- Origin-Destination Matrix Prediction via Graph Convolution ↗Yuandong Wang, Hongzhi Yin, Hongxu Chen et al.248 citations
- Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems ↗Lixin Zou, Long Xia, Zhuoye Ding et al.247 citations
- Actions Speak Louder than Goals ↗Tom Decroos, Lotte Bransen, Jan Van Haaren et al.240 citations
- Adversarial Learning on Heterogeneous Information Networks ↗Binbin Hu, Yuan Fang, Chuan Shi230 citations
- Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction ↗Qi Pi, Weijie Bian, Guorui Zhou et al.216 citations
- POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion ↗Wen Chen, Pipei Huang, Jiaming Xu et al.212 citations
- Multi-Horizon Time Series Forecasting with Temporal Attention Learning ↗Chenyou Fan, Yuze Zhang, Yi Pan et al.205 citations
- Auditing Data Provenance in Text-Generation Models ↗Congzheng Song, Vitaly Shmatikov187 citations
- DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation ↗Donghua Liu, Jing Li, Bo Du et al.187 citations
- Sherlock ↗Madelon Hulsebos, Kevin Hu, Michiel A. Bakker et al.186 citations
- A Deep Value-network Based Approach for Multi-Driver Order Dispatching ↗Xiaocheng Tang, Zhiwei Tony Qin, Fan Zhang et al.180 citations
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification ↗Jun Wu, Jingrui He, Jiejun Xu180 citations
- Streaming Session-based Recommendation ↗Lei Guo, Hongzhi Yin, Qinyong Wang et al.178 citations
- Mathematical Notions vs. Human Perception of Fairness ↗Megha Srivastava, Hoda Heidari, Andreas Krause177 citations
- IntentGC ↗Jun Zhao, Zhou Zhou, Ziyu Guan et al.170 citations
- Gmail Smart Compose ↗Mia Xu Chen, Benjamin N. Lee, Gagan Bansal et al.169 citations
- Graph Transformation Policy Network for Chemical Reaction Prediction ↗Kien Do, Truyen Tran, Svetha Venkatesh164 citations
- FDML ↗Yaochen Hu, Di Niu, Jianming Yang et al.162 citations
- DeepGBM ↗Guolin Ke, Zhenhui Xu, Jia Zhang et al.158 citations
- Revisiting kd-tree for Nearest Neighbor Search ↗Parikshit Ram, Kaushik Sinha157 citations
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts ↗Junheng Hao, Muhao Chen, Wenchao Yu et al.154 citations
- Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network ↗Junchen Ye, Leilei Sun, Bowen Du et al.152 citations
- Modeling Extreme Events in Time Series Prediction ↗Daizong Ding, Mi Zhang, Xudong Pan et al.149 citations
- AliGraph: A Comprehensive Graph Neural Network Platform ↗Hongxia Yang147 citations
- Deep Uncertainty Quantification ↗Bin Wang, Jie Lü, Zheng Yan et al.146 citations
- Assessing The Factual Accuracy of Generated Text ↗Ben Goodrich, Vinay Rao, Peter J. Liu et al.143 citations
- EdMot ↗Peizhen Li, Ling Huang, Chang‐Dong Wang et al.143 citations
- Exploiting Cognitive Structure for Adaptive Learning ↗Qi Liu, Shiwei Tong, Chuanren Liu et al.141 citations
- Explainable AI in Industry ↗Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi et al.138 citations
- GCN-MF ↗Peng Han, Peng Ling Yang, Peilin Zhao et al.137 citations
- UrbanFM ↗Yuxuan Liang, Kun Ouyang, Lin Jing et al.135 citations
- MCNE ↗Hao Wang, Tong Xu, Qi Liu et al.133 citations
- AlphaStock ↗Jingyuan Wang, Yang Zhang, Ke Tang et al.130 citations
- Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks ↗Namyong Park, Andrey Kan, Xin Luna Dong et al.128 citations
- Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior ↗Long Zhe Guo, Lifeng Hua, Rongfei Jia et al.126 citations
- Semantic Product Search ↗Priyanka Nigam, Yiwei Song, Vijai Mohan et al.126 citations
- Predicting Path Failure In Time-Evolving Graphs ↗Jia Li, Zhichao Han, Hong Cheng et al.125 citations
- Pythia: AI-assisted Code Completion System ↗Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu et al.121 citations
- Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams ↗Richard J. Chen, Filip Janković, Nikki Marinsek et al.114 citations
- TF-Ranking ↗Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang et al.114 citations
- Two-Sided Fairness for Repeated Matchings in Two-Sided Markets ↗Tom Sühr, Asia J. Biega, Meike Zehlike et al.112 citations
- Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA ↗Shahroz Tariq, Sang Yup Lee, Youjin Shin et al.111 citations
- Certifiable Robustness and Robust Training for Graph Convolutional Networks ↗Daniel Zügner, Stephan Günnemann109 citations
- Chainer ↗Seiya Tokui, Ryosuke Okuta, Takuya Akiba et al.109 citations
- K-Multiple-Means ↗Feiping Nie, Chenglong Wang, Xuelong Li109 citations
- ProGAN ↗Hongchang Gao, Jian Pei, Heng Huang109 citations
- Sequential Scenario-Specific Meta Learner for Online Recommendation ↗Zhengxiao Du, Xiaowei Wang, Hongxia Yang et al.107 citations
- Facebook Disaster Maps ↗Paige Maas106 citations
- Automatic Dialogue Summary Generation for Customer Service ↗Chunyi Liu, Peng Wang, Jiang Xu et al.104 citations
- Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation ↗Jingyuan Wang, Ning Wu, Wayne Xin Zhao et al.103 citations
- Stability and Generalization of Graph Convolutional Neural Networks ↗Saurabh Manaswita Verma, Zhi-Li Zhang102 citations
- FoodAI ↗Doyen Sahoo, Hao Wang, Shu Ke et al.100 citations
- Graph Recurrent Networks With Attributed Random Walks ↗Xiao Xia Huang, Qingquan Song, Yuening Li et al.98 citations
- Interpretable and Steerable Sequence Learning via Prototypes ↗Yao Ming, Panpan Xu, Huamin Qu et al.97 citations
- MetaPred ↗Xi Sheryl Zhang, Fengyi Tang, Hiroko Hayama Dodge et al.97 citations
- OAG ↗Fanjin Zhang, Xiao Liu, Jie Tang et al.97 citations
- OBOE ↗Chengrun Yang, Yuji Akimoto, Dae Won Kim et al.97 citations
- Enhancing Collaborative Filtering with Generative Augmentation ↗Qinyong Wang, Hongzhi Yin, Hao Wang et al.96 citations
- 150 Successful Machine Learning Models ↗Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez95 citations
- AKUPM ↗Xiaoli Tang, Tengyun Wang, Haizhi Yang et al.95 citations
- DeepUrbanEvent ↗Renhe Jiang, Xuan Song, Dou Huang et al.95 citations
- E.T.-RNN ↗Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin et al.94 citations
- Learning Dynamic Context Graphs for Predicting Social Events ↗Songgaojun Deng, Huzefa Rangwala, Yue Ning94 citations
- Applying Deep Learning to Airbnb Search ↗Malay Haldar, Mustafa Abdool, P. Ramanathan et al.92 citations
- AutoCross ↗Yuanfei Luo, Mengshuo Wang, Hao Zhou et al.92 citations
- Sets2Sets ↗Haoji Hu, Xiangnan He90 citations
- Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach ↗Minji Yoon, Bryan Hooi, Kijung Shin et al.89 citations
- Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics ↗Chao Huang, Xian Wei Wu, Xuchao Zhang et al.86 citations
- Sequential Anomaly Detection using Inverse Reinforcement Learning ↗Min-hwan Oh, Garud Iyengar86 citations
- Adaptive Deep Models for Incremental Learning ↗Yang Yang, Da-Wei Zhou, De‐Chuan Zhan et al.83 citations
- Adaptive Graph Guided Disambiguation for Partial Label Learning ↗Deng-Bao Wang, Li Li, Min-Ling Zhang83 citations
- Real-time Event Detection on Social Data Streams ↗Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram et al.83 citations
- Efficient Maximum Clique Computation over Large Sparse Graphs ↗Lijun Chang81 citations
- Clustering without Over-Representation ↗Sara Ahmadian, Alessandro Epasto, Ravi Kumar et al.80 citations
- GroupINN ↗Yujun Yan, Jiong Zhu, Marlena Duda et al.80 citations
- CoSTCo ↗Hanpeng Liu, Yaguang Li, Michael Tsang et al.79 citations
- Improving Subseasonal Forecasting in the Western U.S. with Machine Learning ↗Jessica Park Hwang, Paulo Orenstein, Judah L. Cohen et al.79 citations
- MOBIUS ↗Miao Fan, Jiacheng Guo, Shuai Zhu et al.77 citations
This page in Markdown → https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2019/papers/