KDD

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning

Anirudhan Badrinath, Alex Yang, Kousik Rajesh, Prabhat Agarwal, Jaewon Yang, Haoyu Chen, Jiajing Xu, Charles Rosenberg

机构 * Pinterest 纠错

Comments To appear in Proceedings of KDD 2025 Industry Track

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

Xuan Wu, Di Wang, Chunguo Wu, Lijie Wen, Chunyan Miao, Yubin Xiao, You Zhou

Comments Accepted by SIGKDD 2025

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian McAuley, Chanyoung Park

机构 * NAVER Corperation（NAVER公司） ； University of California San Diego（加州大学圣地亚哥分校） 纠错

Comments KDD 2025 Research Track

Bias Detection via Maximum Subgroup Discrepancy

Jiří Němeček, Mark Kozdoba, Illia Kryvoviaz, Tomáš Pevný, Jakub Mareček

机构 * Czech Technical University in Prague, Faculty of Electrical Engineering（捷克技术大学布拉格电子工程学院） 纠错

Comments 12 pages, 6 figures

Journal ref Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (2025)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery

Yuni Susanti, Michael Färber

机构 * Fujitsu Limited（富士通有限公司） 纠错

Comments Accepted at KDD 2025 (full research paper)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

机构 * University of Virginia（弗吉尼亚大学） ； University of Notre Dame（诺丁汉大学） ； University of Connecticut（康涅狄格大学） 纠错

Comments Accepted by KDD 2025 Tutorial/Survey Track

Fair Diversity Maximization with Few Representatives

Florian Adriaens, Nikolaj Tatti

Comments To appear in KDD 2025

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval

Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala

机构 * Queen's University（皇后大学） ； Amazon（亚马逊） 纠错

Comments KDD '25

Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems

Shuqiang Zhang, Yuchao Zhang, Jinkun Chen, Haochen Sui

机构 * Dalhousie University（达尔豪斯大学） ； Beijing University of Chemical Technology（北京化工大学） ； University of Michigan（密歇根大学） 纠错

Comments In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25), August 3--7, 2025, Toronto, ON, Canada

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder

Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li

Comments KDD 2025

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes

Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen

机构 * Sun Yat-sen University（中山大学） ； Tencent AI Lab（腾讯AI实验室） 纠错

Comments Published in KDD 2024

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models

Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li

机构 * Tsinghua Univerisity（清华大学） ； Peking University（北京大学） ； Hong Kong University of Science and Technology（香港理工大学） ； Beihang Univerisity（北京航空航天大学） 纠错

Comments Accepted by KDD 2025 research track

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection

Zachary Yang, Domenico Tullo, Reihaneh Rabbany

机构 * Ubisoft La Forge（育碧La Forge） ； McGill University（麦吉尔大学） ； Mila ； CIFAR AI Chair（CIFAR人工智能主席） 纠错

Comments 11 pages, 1 figure, 9 Tables, KDD 2025 ADS Track

Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity

Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

机构 * Fudan University（复旦大学） ； SIAT, Chinese Academy of Sciences（中国科学院深圳先进技术研究院） ； Tongji University（同济大学） 纠错

Journal ref 2025. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. Association for Computing Machinery, New York, NY, USA

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation

Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang

Journal ref KDD 2025

Synthetic Tabular Data: Methods, Attacks and Defenses

Graham Cormode, Samuel Maddock, Enayat Ullah, Shripad Gade

机构 * Meta and University of Warwick（Meta 和 战略研究学院） 纠错

Comments Survey paper for accepted lecture-style tutorial at ACM KDD 2025

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids

Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu

机构 * Peking University School of Computer Science（北京大学计算机科学学院） ； University of Southampton School of Electrical and Computer Science（南安普顿大学电子与计算机科学学院） 纠错

Comments Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25)

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity

Adrien Petralia, Philippe Charpentier, Youssef Kadhi, Themis Palpanas

机构 * EDF R&D - Université Paris Cité（EDF研究与开发 - 巴黎大学） 纠错

Comments 12 pages, 8 figures. This paper appeared in ACM SIGKDD 2025

Journal ref In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25), August 3--7, 2025, Toronto, ON, Canada

Generating Long Semantic IDs in Parallel for Recommendation

Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian McAuley

Comments KDD 2025

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning

Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che

机构 * State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China（认知智能国家重点实验室，中国科学技术大学） ； Research Center for Social Computing and Interactive Robotics, Harbin Institute of Technology（社会计算与交互机器人研究中心，哈尔滨工业大学） 纠错

Comments Accepted at the Research Track of KDD 2025

Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series

Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong

机构 * HKUST(GZ)（香港科技大学（广州）） 纠错

Comments Accepted by KDD'25

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings

Yifei Peng, Zijie Zha, Yu Jin, Zhexu Luo, Wang-Zhou Dai, Zhong Ren, Yao-Xiang Ding, Kun Zhou

机构 * State Key Laboratory of CAD&CG（CAD与CG国家重点实验室） ； National Key Laboratory for Novel Software Technology（新型软件技术国家实验室） ； Department of Computer and Information Science（计算机与信息科学系） 纠错

Comments KDD 2025 research track paper

FlexiReg: Flexible Urban Region Representation Learning

Fengze Sun, Yanchuan Chang, Egemen Tanin, Shanika Karunasekera, Jianzhong Qi

机构 * School of Computing and Information System, University of Melbourne（计算与信息系统学院，墨尔本大学） 纠错

Comments This paper is accepted at KDD 2025

SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting

Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港理工大学（广州）） ； The Hong Kong University of Science and Technology（香港理工大学） 纠错

Comments Accepted by KDD 2025

When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark

Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun

机构 * Massachusetts Institute of Technology（麻省理工学院） ； IBM Research（IBM研究院） ； Virginia Tech（弗吉尼亚理工大学） 纠错

Comments This work has been accepted to the KDD 2025 Datasets and Benchmarks Track

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai

Comments \c{opyright} {ACM} {2023}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in KDD'23, http://dx.doi.org/10.1145/3580305.3599918

Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings

David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander

机构 * Northeastern University（东北大学） ； Khoury College of Computer Sciences（计算机科学学院） ； Amazon AWS（亚马逊AWS） ； San Francisco CA USA（旧金山CA美国） ； Network Science Institute（网络科学研究所） ； Stanford University（斯坦福大学） ； Management Science & Engineering（管理科学与工程） ； Stanford CA USA（斯坦福CA美国） 纠错

Comments Published in KDD'25

A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments

Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel

机构 * Munich Center for Machine Learning & LMU Munich（慕尼黑机器学习中心及慕尼黑大学） ； University of Illinois, Chicago（伊利诺伊大学香槟分校） 纠错

Comments Accepted at KDD 2025

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery

Muhammad Hasan Ferdous, Emam Hossain, Md Osman Gani

机构 * Causal AI Lab University of Maryland, Baltimore County（因果AI实验室 乌尔利卡大学巴尔的摩县） 纠错

Comments 11 pages, 4 figures, accepted at KDD 2025 (Datasets and Benchmarks Track)

Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery

Buyun He, Xiaorui Jiang, Qi Wu, Hao Liu, Yingguang Yang, Yong Liao

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

Comments KDD 2025