KDD

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation

Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Comments Accepted by ACM SIGKDD'21

Uncertainty-Aware Reliable Text Classification

Yibo Hu, Latifur Khan

Comments KDD 2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

Comments In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), August 14-18, 2021, Singapore

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu

Comments To appear in the Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021

Sliding Spectrum Decomposition for Diversified Recommendation

Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu

Comments In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14--18, 2021, Virtual Event, Singapore

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions

Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan

Comments 9 pages, 4 figures, accepted by KDD-21 research track. The source code is available at https://github.com/ltz0120/Graph-Convolutional- Hawkes-Processes-GCHP

GAN-based Data Augmentation for Chest X-ray Classification

Shobhita Sundaram, Neha Hulkund

Comments Spotlight Talk at KDD 2021 - Applied Data Science for Healthcare Workshop

New Methods and Datasets for Group Anomaly Detection From Fundamental Physics

Gregor Kasieczka, Benjamin Nachman, David Shih

Comments Accepted for ANDEA (Anomaly and Novelty Detection, Explanation and Accommodation) Workshop at KDD 2021

Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India

Mehak Gupta, Shayan Saifi, Konark Verma, Kumari Rekha, Aaditeshwar Seth

Comments 11 pages of main text, 4 pages of supplementary material

Journal ref The 3rd KDD Workshop on Data Science for Social Good, 2021

ADMM for Efficient Deep Learning with Global Convergence

Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao

Comments accepted by KDD 2019

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda

Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi

Comments Accepted and to appear in the proceedings of the KDD 2021 co-located workshop: the 2nd International Workshop on Deployable Machine Learning for Security Defense (MLHat)

NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC

Weiyue Su, Zeyang Fang, Hui Zhong, Huijuan Wang, Siming Dai, Zhengjie Huang, Yunsheng Shi, Shikun Feng, Zeyu Chen

Comments The 1st solution for KDD-CUP 2021 WIKIKG90M-LSC. 7 pages, 2 figures, 1 table

Web-Scale Generic Object Detection at Microsoft Bing

Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada

Comments In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2021, Virtual Event, Singapore

Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective

Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li

Comments Accepted by SIGKDD'21

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics

Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans

Journal ref ACM SIGKDD Explorations Newsletter, vol. 23, iss. 1, p. 50-58, 2021

Interactive Causal Structure Discovery in Earth System Sciences

Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki

Comments 23 pages, 8 figures, to be published in Proceedings of the 2021 KDD Workshop on Causal Discovery

A Map of Bandits for E-commerce

Yi Liu, Lihong Li

Comments Accepted by KDD Bandit and RL workshop: https://sites.google.com/view/marble-kdd/

Towards a fairer reimbursement system for burn patients using cost-sensitive classification

Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Ken W. Dunn

Comments Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and trustworthiness in Health

Multi-facet Contextual Bandits: A Neural Network Perspective

Yikun Ban, Jingrui He, Curtiss B. Cook

Comments KDD'21, 12 pages

A preliminary approach to knowledge integrity risk assessment in Wikipedia projects

Pablo Aragón, Diego Sáez-Trumper

Comments Accepted at MIS2'21: Misinformation and Misbehavior Mining on the Web Workshop held in conjunction with KDD 2021

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

Ting-Wu Chin, Ari S. Morcos, Diana Marculescu

Comments Accepted at ECML-PKDD 2021 (Research Track), 4-page abridged versions have been accepted at non-archival venues including RealML and DMMLSys workshops at ICML'20 and DLP-KDD and AdvML workshops at KDD'20

Detecting Cattle and Elk in the Wild from Space

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres

Comments Presented at the KDD 2021 Fragile Earth Workshop

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

João Bento, Pedro Saleiro, André F. Cruz, Mário A. T. Figueiredo, Pedro Bizarro

Comments Accepted at KDD 2021

Lambda Learner: Fast Incremental Learning on Data Streams

Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar

Journal ref Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Table2Charts: Recommending Charts by Learning Shared Table Representations

Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang

Comments 9 + 2(appendix) pages, accepted by KDD'21 conference

Multimodal Emergent Fake News Detection via Meta Neural Process Networks

Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao

Comments accepted by KDD 2021

Temporal Graph Signal Decomposition

Maxwell McNeil, Lin Zhang, Petko Bogdanov

Comments 9 Main Pages 2 Supplement to be published in the research track in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), August 14 through August 18, 2021,Virtual Event, Singapore

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian

Comments Accepted by KDD 2021 (research track)

Pre-trained Language Model based Ranking in Baidu Search

Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Zhifan Zhu, Weiyue Su, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

Comments 9-pages, 3 figures, 7 tables, SIGKDD 2021 accepted paper

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Comments Accepted at Deep Learning on Graphs: Method and Applications (DLG-KDD 2021)