KDD

On Structural Explanation of Bias in Graph Neural Networks

Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li

Comments Published as a conference paper at SIGKDD 2022

Task-Adaptive Few-shot Node Classification

Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li

Journal ref KDD 2022

Geometric Policy Iteration for Markov Decision Processes

Yue Wu, Jesús A. De Loera

Comments Camera ready version for SIGKDD 2022

Graph-in-Graph Network for Automatic Gene Ontology Description Generation

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang

Comments Accepted by KDD 2022 (Research Track)

Rapid Regression Detection in Software Deployments through Sequential Testing

Michael Lindon, Chris Sanden, Vaché Shirikian

Comments 11 pages. To be published in the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22)

Journal ref Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022

Multi-View Clustering for Open Knowledge Base Canonicalization

Wei Shen, Yang Yang, Yinan Liu

Comments Accepted by SIGKDD 2022

An Embedded Feature Selection Framework for Control

Jiawen Wei, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, Ning Gui

Comments 9 pages, 9 figures, accepted by SIGKDD 2022

Looper: An end-to-end ML platform for product decisions

Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou

Comments 11 pages + references, 7 figures; to appear in KDD 2022

Nimble GNN Embedding with Tensor-Train Decomposition

Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutos, George Karypis, Richard Vuduc

Comments To appear in the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 22)

Automatic Controllable Product Copywriting for E-Commerce

Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu

Comments This paper has been accepted by KDD 2022 ADS

PAC-Wrap: Semi-Supervised PAC Anomaly Detection

Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee

Comments Accepted by SIGKDD 2022

Contrastive Cross-domain Recommendation in Matching

Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin

Comments 11 pages, accepted by KDD-2022

Journal ref KDD-2022

Learning Fair Representation via Distributional Contrastive Disentanglement

Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song

Comments Accepted by KDD 2022 (Research Track)

Scalable Differentially Private Clustering via Hierarchically Separated Trees

Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Munoz, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii

Comments To appear at KDD'22

SOS: Score-based Oversampling for Tabular Data

Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho

Comments Accepted by KDD 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudre, Dilek Hakkani-Tur, Wael Hamza, Jonathan Hueser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gokhan Tur, Prem Natarajan

Comments KDD 2022

Journal ref Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Wei Jin, Xiaorui Liu, Yao Ma, Charu Aggarwal, Jiliang Tang

Comments Accepted by KDD 2022

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen

Comments Accepted by ACM SIGKDD 2022

Learning Models of Individual Behavior in Chess

Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson

Comments 12 pages, 11 figures, 5 tables, Published in the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Code https://github.com/CSSLab/maia-individual

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator

Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosič, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec

Comments SIGKDD 2022; 11 pages, 6 figures

Temporal Multimodal Multivariate Learning

Hyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek Posselt, Steve Chien

Comments 11 pages, 12 figures, SIGKDD Conference on Knowledge Discovery and Data Mining,

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems

Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li

Comments Accepted by KDD 2022, ADS track

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen

Comments 11 pages, Accepted by KDD 2022

Causal Attention for Interpretable and Generalizable Graph Classification

Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua

Comments Accepted to KDD 2022

Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks

Leonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao, Elena Demidova

Comments 9 pages, 9 figures, definitive version published in the proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22)

Towards Universal Sequence Representation Learning for Recommender Systems

Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

Comments Accepted by KDD 2022 Research Track

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei

Comments Accepted at KDD 2022 Applied Data Science Track

Communication-Efficient Robust Federated Learning with Noisy Labels

Junyi Li, Jian Pei, Heng Huang

Comments To appear in KDD 2022

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

Comments This paper is accepted by the ACM KDD 2022

Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank

Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

Comments Accepted by KDD 2022