KDD

Taming Pretrained Transformers for Extreme Multi-label Text Classification

Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon

Comments KDD 2020 Applied Data Track

Magnify Your Population: Statistical Downscaling to Augment the Spatial Resolution of Socioeconomic Census Data

Giulia Carella, Andy Eschbacher, Dongjie Fan, Miguel Álvarez, Álvaro Arredondo, Alejandro Polvillo Hall, Javier Pérez Trufero, Javier de la Torre

Comments 14 pages, 5 figures, accepted at KDD Workshop on Humanitarian Mapping, August 24, 2020 (https://kdd-humanitarian-mapping.herokuapp.com/)

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao

Comments KDD 2020

Robust Spammer Detection by Nash Reinforcement Learning

Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie

Comments Accepted by KDD 2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

Comments KDD 2020 Research Track. 10 pages

How to Count Triangles, without Seeing the Whole Graph

Suman K. Bera, C. Seshadhri

Comments Accepted for publication in KDD 2020

The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis

Xuan Yin, Liangjie Hong

Comments Accepted by The 25th ACM SIGKDD Conference on Knowledge Discovery and DataMining (KDD '19), August 4-8, 2019, Anchorage, AK, USA

Journal ref The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19), August 4-8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA

Shop The Look: Building a Large Scale Visual Shopping System at Pinterest

Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai

Comments 10 pages, 7 figures, Accepted to KDD'20

Jointly Learning to Recommend and Advertise

Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang

Comments Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, CA, USA

Exploiting the Matching Information in the Support Set for Few Shot Event Classification

Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen

Comments Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han

Comments KDD 2020

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths

Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang

Comments KDD 2020 Research Track Full Paper

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun

Comments In proceedings of KDD'20, Applied Data Science Track; 9 pages, 2 supplementary pages

Neural Subgraph Isomorphism Counting

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang

Comments Accepted by KDD 2020

MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems

Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng

Journal ref 1st International Workshop on Industrial Recommendation Systems (IRS), KDD 2020

Directional Multivariate Ranking

Nan Wang, Hongning Wang

Comments Accepted as a full research paper in KDD'20

Incremental Lossless Graph Summarization

Jihoon Ko, Yunbum Kook, Kijung Shin

Comments to appear at the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '20)

Diverse Rule Sets

Guangyi Zhang, Aristides Gionis

Journal ref Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, CA, USA

AdvMind: Inferring Adversary Intent of Black-Box Attacks

Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang

Comments Accepted as a full paper at KDD 2020

Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining

Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila

Journal ref KDD 2009: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Off-policy Bandits with Deficient Support

Noveen Sachdeva, Yi Su, Thorsten Joachims

Comments 11 pages, 6 figures. Accepted for publication at KDD '20 (Research track)

Residual Correlation in Graph Neural Network Regression

Junteng Jia, Austin R. Benson

Journal ref KDD 2020

Interleaved Sequence RNNs for Fraud Detection

Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro

Comments 9 pages, 4 figures, to appear in SIGKDD'20 Industry Track

Measuring Model Complexity of Neural Networks with Curve Activation Functions

Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei

Comments KDD 2020

Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction

Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You

Comments 11 pages, an ACM SIGKDD 2020 paper

COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching

Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun

Comments Accepted by KDD'20

Evaluating Conversational Recommender Systems via User Simulation

Shuo Zhang, Krisztian Balog

Comments Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), 2020

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering

Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang

Comments Accepted by KDD 2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang

Comments Accepted to KDD 2020 Applied Data Science Track

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou

Comments KDD 2020