KDD

HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

Hanyang Liu, Sunny S. Lou, Benjamin C. Warner, Derek R. Harford, Thomas Kannampallil, Chenyang Lu

Comments 11 pages including appendices. Accepted by KDD'22

Journal ref KDD 2022

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan

Comments ACM KDD 2022 Workshop on Data-driven Science of Science

Predicting Opinion Dynamics via Sociologically-Informed Neural Networks

Maya Okawa, Tomoharu Iwata

Comments Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2022

An Approach to Ensure Fairness in News Articles

Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem

Comments Accepted in KDD 2022 Workshop on Data Science and Artificial Intelligence for Responsible Recommendations (DS4RRS)

GraphWorld: Fake Graphs Bring Real Insights for GNNs

John Palowitch, Anton Tsitsulin, Brandon Mayer, Bryan Perozzi

Comments Uploading KDD camera-ready version

Device-Cloud Collaborative Recommendation via Meta Controller

Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang

Comments KDD 2022

Multi-objective Optimization of Notifications Using Offline Reinforcement Learning

Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan

Comments 9 pages, 6 figures, to be published in KDD 22'

Boosting the interpretability of clinical risk scores with intervention predictions

Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Ming-Jun Chen

Comments Accepted by DSHealth on KDD 2022

Exploring Runtime Decision Support for Trauma Resuscitation

Keyi Li, Sen Yang, Travis M. Sullivan, Randall S. Burd, Ivan Marsic

Comments 2022 KDD Workshop on Applied Data Science for Healthcare

Ask Me What You Need: Product Retrieval using Knowledge from GPT-3

Su Young Kim, Hyeonjin Park, Kyuyong Shin, Kyung-Min Kim

Comments Accepted to DLP-KDD 2022 Workshop

Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi

Comments 8 pages, 5 figures, Accepted to KDD'22 Workshop on Mining and Learning with Graphs

Saliency-Regularized Deep Multi-Task Learning

Guangji Bai, Liang Zhao

Comments 10 pages, 7 Figures, KDD 2022

Unsupervised Key Event Detection from Massive Text Corpora

Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han

Comments Accepted to KDD 2022 Research Track

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

Comments Accepted at KDD 2022. 11 pages, 19 figures. For a demo video, see https://youtu.be/D6whtfInqTc. For a live demo, visit https://interpret.ml/gam-changer

Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions

Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu

Comments Accepted to KDD 2022

Framing Algorithmic Recourse for Anomaly Detection

Debanjan Datta, Feng Chen, Naren Ramakrishnan

Comments ACM SigKDD 2022, Research Track

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang

Comments Accepted to KDD 2022

Dynamic Memory for Interpretable Sequential Optimisation

Srivas Chennu, Andrew Maher, Jamie Martin, Subash Prabanantham

Comments 2nd International Workshop on Online and Adaptive Recommender Systems, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022, Washington DC

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems

Yixin Su, Yunxiang Zhao, Sarah Erfani, Junhao Gan, Rui Zhang

Comments KDD 2022, 11 pages, 12 figures, 5 tables

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction

Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang

Comments KDD 2022 Applied Data Science Track

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation

Jiaxin Huang, Yu Meng, Jiawei Han

Comments Accepted to KDD 2022 Research Track

Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren

Comments Accepted by KDD 2022

RES: A Robust Framework for Guiding Visual Explanation

Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao

Comments Published in KDD 2022

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

A Representation Learning Framework for Property Graphs

Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang

Comments This paper is published in KDD 2019. Code can be found here: https://github.com/yifan-h/PGE

Automatic Generation of Product-Image Sequence in E-commerce

Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu

Comments Accepted by KDD 2022 ADS

Towards Representation Alignment and Uniformity in Collaborative Filtering

Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

Comments Accepted by KDD'2022

Protoformer: Embedding Prototypes for Transformers

Ashkan Farhangi, Ning Sui, Nan Hua, Haiyan Bai, Arthur Huang, Zhishan Guo

Comments Advances in Knowledge Discovery and Data Mining (PAKDD 2022)

Journal ref Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022

p-Meta: Towards On-device Deep Model Adaptation

Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele

Comments Published in SIGKDD 2022

Multi-Variate Time Series Forecasting on Variable Subsets

Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran

Journal ref ACM SIGKDD 2022 Research Track

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems

Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao

Comments 11 pages, accepted by SIGKDD 2022