KDD

Hierarchical knowledge guided fault intensity diagnosis of complex industrial systems

分层知识引导的复杂工业系统故障强度诊断

Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou

机构 * School of Artificial Intelligence, Xidian University, Xian, China（西安电子科技大学人工智能学院） ； School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China（香港科技大学（深圳）科学与工程学院） ； Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany（法兰克福高级研究院） ； Xidian-FIAS international Joint Research Center, Frankfurt am Main, Germany（西电-法兰克福国际联合研究中心） ； Institut für Theoretische Physik, Goethe Universität Frankfurt, Frankfurt am Main, Germany（法兰克福歌德大学理论物理研究所） ； GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany（重离子研究中心（GSI）） ； SAMSON AG, Frankfurt am Main, Germany（SAMSON公司） 纠错

AI总结 本文提出了一种分层知识引导的故障强度诊断框架，通过引入层次知识相关矩阵解决依赖关系问题，提升复杂工业系统故障诊断的准确性。

Comments 12 pages

Journal ref In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2024)

BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction

Ruifeng Tan, Weixiang Hong, Jiayue Tang, Xibin Lu, Ruijun Ma, Xiang Zheng, Jia Li, Jiaqiang Huang, Tong-Yi Zhang

机构 * The Hong Kong University of Science（香港科学与技术大学） ； CALB Group Co., Ltd.（CALB集团有限公司） 纠错

Comments Accepted by KDD 2025. Typos and data statistics mistakes are fixed

Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting

Yuansan Liu, Sudanthi Wijewickrema, Dongting Hu, Christofer Bester, Stephen O'Leary, James Bailey

机构 * School of Computing and Information Systems, The University of Melbourne（计算与信息系统学院，墨尔本大学） ； Department of Surgery (Otolaryngology), The University of Melbourne（外科部门（耳鼻喉科），墨尔本大学） ； School of Mathematics and Statistics, The University of Melbourne（数学与统计学学院，墨尔本大学） 纠错

Comments 15 pages, 4 figures. SIGKDD 2025

Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks

Kevin Wang, Subre Abdoul Moktar, Jia Li, Kangshuo Li, Feng Chen

机构 * The University of Texas at Dallas（德克萨斯大学达拉斯分校） ； University of Texas at Dallas（德克萨斯大学达拉斯分校） 纠错

Comments Accepted by UDM-KDD'24

Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining

Adewale Akinfaderin, Shreyas Subramanian, Akarsha Sehwag

机构 * Amazon Web Services（亚马逊网络服务） 纠错

Comments Presented at Workshop on Prompt Optimization, KDD 2025, Toronto, Canada

Large-Scale Network Embedding in Apache Spark

Wenqing Lin

Comments Accepted in KDD 2021

LocalGPT: Benchmarking and Advancing Large Language Models for Local Life Services in Meituan

Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li

机构 * Department of Electronic\ , BNRist,\ University Beijing, China ； Department of Electronic\ , BNRist,\ University 纠错

Comments KDD 2025

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization

Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He

机构 * UIUC（伊利诺伊大学 Urbana-Champaign 分校） ； HKBU（香港理工大学） 纠错

Comments Accepted by KDD 2025

Error Bounds for the Network Scale-Up Method

Sergio Díaz-Aranda, Juan Marcos Ramírez, Mohit Daga, Jaya Prakash Champati, José Aguilar, Rosa Elvira Lillo, Antonio Fernández Anta

Comments Full version of the KDD 2025 paper

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

机构 * MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, Institute for Theoretical Computer Science, Shanghai University of Finance and Economics（交叉学科计算与经济学联合实验室，理论计算机科学研究院，上海财经大学） ； College of Computer Science and Technology, National University of Defense Technology（计算机科学与技术学院，国防科技大学） ； Department of Computer Science and Technology, Tsinghua University（计算机科学与技术系，清华大学） ； School of Economics and Management, Tsinghua University（经济管理学院，清华大学） 纠错

Comments KDD 2025

A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models

Vanni Zavarella, Juan Carlos Gamero-Salinas, Sergio Consoli

机构 * Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy（数学与计算机科学系，卡利亚里大学，卡利亚里，意大利） ； Institute of Data Science and Artificial Intelligence (DATAI), Universidad de Navarra, Pamplona, Spain（数据科学与人工智能研究所（DATAI），纳瓦拉大学，潘普隆，西班牙） ； European Commission, Joint Research Centre (DG JRC), Ispra (VA), Italy（欧洲委员会，联合研究中心（DG JRC），伊斯普拉（瓦拉），意大利） 纠错

Journal ref CEUR Workshop Proceedings, Vol. 3894 (2024), Workshop at KDD 2024 on Deep Learning and Large Language Models for Knowledge Graphs

Towards Urban Planing AI Agent in the Age of Agentic AI

Rui Liu, Tao Zhe, Zhong-Ren Peng, Necati Catbas, Xinyue Ye, Dongjie Wang, Yanjie Fu

机构 * University of Kansas（堪萨斯大学） ； University of Florida（佛罗里达大学） ； University of Central Florida（中央佛罗里达大学） ； University of Alabama（阿拉巴马大学） ； Arizona State University（亚利桑那州立大学） 纠错

Comments this more comprehensive version is under reviewed in ACM SIGKDD exploration

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi

Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Didichuxing Co. Ltd（滴滴出行有限公司） 纠错

Comments KDD 2025

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning

Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

机构 * The University of Queensland（昆士兰大学） ； Beijing University of Posts and Telecommunications（北京邮电大学） ； Peking University（北京大学） 纠错

Comments KDD 2025

Maximum Degree-Based Quasi-Clique Search via an Iterative Framework

Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou

Comments Appears in the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025

RephQA: Evaluating Readability of Large Language Models in Public Health Question Answering

Weikang Qiu, Tinglin Huang, Ryan Rullo, Yucheng Kuang, Ali Maatouk, S. Raquel Ramos, Rex Ying

机构 * Yale University, Department of Computer Science（耶鲁大学计算机科学系） ； Yale University, School of Nursing（耶鲁大学护理学院） ； Yale University, School of Public Health（耶鲁大学公共卫生学院） ； Northeastern University（东北大学） 纠错

Comments ACM KDD Health Track 2025 Blue Sky Best Paper

Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs

Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, Zhenan Fan

机构 * Huawei Technologies Canada（华为技术加拿大公司） ； Huawei Technologies（华为技术） 纠错

Comments Accepted at ACM KDD 2025

MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification

Shuhan Zhong, Weipeng Zhuo, Sizhe Song, Guanyao Li, Zhongyi Yu, S. -H. Gary Chan

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） ； Beijing Normal-Hong Kong Baptist University（北京师范大学-香港 Baptist大学） ； Guangzhou Urban Planning and Design Survey Research Institute（广州城市规划与设计调查研究院） 纠错

Comments KDD 2025

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models

Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments KDD'25 survey track

REMI: A Novel Causal Schema Memory Architecture for Personalized Lifestyle Recommendation Agents

Vishal Raman, Vijai Aravindh R, Abhijith Ragav

机构 * Radian Group Inc.（Radian集团） ； Sri Sivasubramaniya Nadar College Of Engineering（Sri Sivasubramaniya纳达尔工程学院） ； Amazon（亚马逊） 纠错

Comments 8 pages, 2 figures, Accepted at the OARS Workshop, KDD 2025, Paper link: https://oars-workshop.github.io/papers/Raman2025.pdf

Flow Matching for Collaborative Filtering

Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee

Comments Accepted to KDD 2025

Moco: A Learnable Meta Optimizer for Combinatorial Optimization

Tim Dernedde, Daniela Thyssens, Sören Dittrich, Maximilian Stubbemann, Lars Schmidt-Thieme

机构 * Institute of Computer Science, University of Hildesheim（计算机科学研究所，希尔德斯海姆大学） 纠错

Comments 20 pages, 2 figures. A prior version was published in Advances in Knowledge Discovery and Data Mining. PAKDD 2025. Lecture Notes in Computer Science, vol 15872. Springer, Singapore

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs

Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Meta AI 纠错

Comments Accepted by KDD 2025. 27 pages

On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective

Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra

机构 * University of Michigan, Ann Arbor（密歇根大学） ； Snap Inc.（Snap公司） 纠错

Comments Accepted at SIGKDD 2025

SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking

Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang

机构 * Renmin University of China（中国人民大学） ； Key Laboratory of Data Engineering and Knowledge Engineering, MOE（数据工程与知识工程重点实验室） ； Tsinghua University（清华大学） ； Institute of Education（教育学院） ； Department of Computer Science and Technology（计算机科学与技术系） ； Engineering Research Center of Database and Business Intelligence, MOE（数据库与商务智能工程研究中心） ； School of Information（信息学院） 纠错

Comments KDD 2025; 22 pages, 13 figures

Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation

Sang Su Lee, Vineeth Loganathan, Vijay Raghavan

机构 * Thumbtack, Inc.（Thumbtack公司） 纠错

Comments Presented at the KDD 2025 Workshop on Causal Inference and Machine Learning in Practice

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation

Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu

Comments Accepted by KDD 2025

Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge Retrieval

Karanbir Singh, Deepak Muppiri, William Ngu

机构 * Salesforce 纠错

Comments Accepted at KDD'2025 Agent4IR workshop

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

机构 * Yale University（耶鲁大学） ； Birla Institute of Technology（比拉理工学院） ； The Chinese University of Hong Kong（香港中文大学） 纠错

Comments KDD 2024; Code: https://github.com/Graph-and-Geometric-Learning/hyperbolic-transformer

Understanding and Tackling Over-Dilution in Graph Neural Networks

Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang, Tengfei Ma

机构 * Korea University（韩国大学） ； IBM Research（IBM研究院） ； Chung-Ang University（Chung-Ang大学） ； State University of New York at Stony Brook（纽约州立大学石溪分校） 纠错

Comments Extended version of KDD '25 paper. 22 pages including appendix. Conference version: KDD '25 (Toronto, Aug 3-7, 2025), pp. 1253-1261. Code: https://github.com/LeeJunHyun/NATR

Journal ref Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), Toronto, Canada, Aug 3-7, 2025, pp. 1253-1261