KDD

Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation

Edoardo D'Amico, Aonghus Lawlor, Neil Hurley

Journal ref Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023

Efficient Approximation Algorithms for Spanning Centrality

Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang

Comments The technical report of the paper entitled 'Efficient Approximation Algorithms for Spanning Centrality' in SIGKDD'23

Communication Efficient Distributed Newton Method with Fast Convergence Rates

Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui

Comments Accepted in SIGKDD 2023

Rover: An online Spark SQL tuning service via generalized transfer learning

Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui

Comments Accepted by KDD 2023

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng

Comments Accepted at KDD 2023

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang

Comments KDD 2023 research track. Code available at https://github.com/EdisonLeeeee/MaskGAE

Text Is All You Need: Learning Language Representations for Sequential Recommendation

Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley

Comments accepted to KDD 2023

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu

Comments Published in ACM SIGKDD 2023 & Presented in NeurIPS 2022 AI For Science Workshop

Breaking the Curse of Quality Saturation with User-Centric Ranking

Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang

Comments accepted to publish at KDD 2023

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

Comments Accepted by KDD 2023

Domain-Specific Risk Minimization for Out-of-Distribution Generalization

Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie

Comments 9 papers for the main paper, 2 pages for the appendix, published in SIGKDD 2023

Journal ref ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System

Zhixuan Zhang, Yuheng Huang, Dan Ou, Sen Li, Longbin Li, Qingwen Liu, Xiaoyi Zeng

Comments 13 pages, 7 figures, submitted to KDD 2023

Multi-factor Sequential Re-ranking with Perception-Aware Diversification

Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu

Journal ref KDD 2023

Multi-channel Integrated Recommendation with Exposure Constraints

Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge

Journal ref KDD 2023

Semi-Supervised Graph Imbalanced Regression

Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

Comments Accepted by KDD 2023. 17 pages, 5 figures, 10 tables

Learning Differential Operators for Interpretable Time Series Modeling

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

Comments Published in ACM SIGKDD 2022

An Evaluation Framework for Personalization Strategy Experiment Designs

C. H. Bryan Liu, Emma J. McCoy

Comments Presented in the AdKDD 2020 workshop, in conjunction with The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2020. Main paper: 7 pages, 2 figures, 2 tables, Supplementary document: 6 pages. Fixed minor typos in Eqs. (17) and (18), and Expr. (27a)

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense

Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li

Comments 10 pages, accepted to KDD'20

Journal ref Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(KDD '20), August 23--27, 2020, Virtual Event, CA, USA. Pages 15-24

Block Switching: A Stochastic Approach for Deep Learning Security

Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

Comments Accepted by AdvML19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD, Anchorage, Alaska, USA, August 5th, 2019, 5 pages

Journal ref Journal of Computational and Cognitive Engineering. Volume 1, Issue 4, 2022

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang

Comments Fixed Table 4 from the KDD 2022 version

Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool

Arturo de Nieves Gutierrez de Rubalcava, Oscar Sanchez Piñeiro, Rebeca Moreno Jiménez, Joseph Aylett-Bullock, Azra Ismail, Sofia Kyriazi, Catherine Schneider, Fred Sekidde, Giulia del Panta, Chao Huang, Vanessa Maigné, Miguel Luengo-Oroz, Katherine Hoffmann Pham

Comments 9 pages, 5 figures

Journal ref Proceedings of the 3rd KDD Workshop on Data-driven Humanitarian Mapping, 2022, Washington, DC USA

FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks

Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang

Comments Accepted to KDD 2022

TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks

Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo

Comments To appear in the Proceedings of PAKDD 2023 (27th Pacific-Asia Conference on Knowledge Discovery and Data Mining)

Stochastic Submodular Maximization via Polynomial Estimators

Gözde Özcan, Stratis Ioannidis

Comments 23 pages, accepted to 27th Pasific-Asian Conference on Knowledge Discovery and Data Mining

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization

Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang

Comments 11 pages, 5 figures, 7 tables, submitted to KDD 2023

Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective

Adaku Uchendu, Thai Le, Dongwon Lee

Comments Accepted at ACM SIGKDD Explorations, Vol. 25, June 2023

Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

Comments 15 pages, 4 figures, 1 table

Journal ref The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)

Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System

Shanshan Lyu, Qiwei Chen, Tao Zhuang, Junfeng Ge

Journal ref The 4th International Workshop on Deep Learning Practice for High-Dimensional Sparse and Imbalanced Data with KDD 2022

Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems

Ehtesamul Azim, Dongjie Wang, Yanjie Fu

Comments Accepted to The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)

BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

Jiawei Jiang, Chengkai Han, Jingyuan Wang

Comments 6 pages, 4 figures, Report for ACM KDD Workshop - Baidu KDD CUP 2022