KDD

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen

Comments 10 pages, 5 figures, Accepted by SIGKDD 2022 Applied Data Science Track

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee

Comments Accepted by KDD 2022 Research Track

Comprehensive Fair Meta-learned Recommender System

Tianxin Wei, Jingrui He

Comments Accepted to SIGKDD 2022

Neural Bandit with Arm Group Graph

Yunzhe Qi, Yikun Ban, Jingrui He

Comments Accepted to SIGKDD 2022

ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps

Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, Shikun Feng

Comments Accepted by KDD 2022, camera-ready version

Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data

J. Xue, T. Yabe, K. Tsubouchi, J. Ma, S. V. Ukkusuri

Comments 11 pages, 8 figures. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA

Learning Classifiers under Delayed Feedback with a Time Window Assumption

Masahiro Kato, Shota Yasui

Comments accepted at KDD 2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Comments Accepted to KDD 2022 (Health Day), 9 pages

Model Degradation Hinders Deep Graph Neural Networks

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Comments 11 pages, 10 figures

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

Graph Attention Multi-Layer Perceptron

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Comments 11 pages, 7 figures. arXiv admin note: text overlap with arXiv:2108.10097

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

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Chris Duffy, John Neiber, Vipin Kumar

Comments Accepted at KDD 2022

Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization

Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md Shad Akhtar, Tanmoy Chakraborty

Comments 11 pages, 4 figures, 12 tables. Accepted at KDD 2022 (ADS Track)

Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering

Aseem Srivastava, Tharun Suresh, Sarah Peregrine, Lord, Md. Shad Akhtar, Tanmoy Chakraborty

Comments Full paper accepted at KDD 2022 -- ADS Track

Disentangled Ontology Embedding for Zero-shot Learning

Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen

Comments Accepted by KDD'22

Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer

Minrui Wang, Mingxiao Feng, Wengang Zhou, Houqiang Li

Comments Accepted by KDD 2022 Research Track

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning

Weijie He, Ting Chen

Comments KDD 2022 Health Day

KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

Han Li, Dan Zhao, Jianyang Zeng

Comments 11 pages, to appear in KDD 2022 research track

Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning

Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu

Comments Accepted to KDD 2022

Learning Backward Compatible Embeddings

Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec

Comments KDD 2022, Applied Data Science Track

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui

Comments 9 pages and 2 extra pages of appendix

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

Transfer Learning based Search Space Design for Hyperparameter Tuning

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui

Comments 9 pages and 2 extra pages for appendix

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

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation

Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King

Comments Accepted by SIGKDD 2022

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing

Comments to appear at KDD 2022, the software package is at https://github.com/jyanln/AlignReg. arXiv admin note: text overlap with arXiv:2011.13052

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

Comments KDD 2022

Sparx: Distributed Outlier Detection at Scale

Sean Zhang, Varun Ursekar, Leman Akoglu

Comments 11 pages, 7 figures, 14 tables

Journal ref ACK SIGKDD 2022

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction

Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie

Comments Submitted to KDD 2022

Global Self-Attention as a Replacement for Graph Convolution

Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Comments The accepted version in KDD '22

Learned Token Pruning for Transformers

Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer

Comments KDD 2022 (Research Track)

Core-periphery Models for Hypergraphs

Marios Papachristou, Jon Kleinberg

Comments Accepted at as a research track paper at KDD 2022

Availability Attacks Create Shortcuts

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

Comments Published as a research track paper at KDD 2022