KDD

Simple yet Effective Graph Distillation via Clustering

Yurui Lai, Taiyan Zhang, Renchi Yang

机构 * Hong Kong Baptist University（香港 Baptist 大学） 纠错

Comments This is the technical report of the paper "Simple yet Effective Graph Distillation via Clustering" accepted by KDD 2025

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies

Kohei Obata, Yasuko Matsubara, Yasushi Sakurai

机构 * SANKEN, University of Osaka（大阪大学SANKEN研究所） 纠错

Comments Accepted by KDD 2025

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models

Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng

机构 * Institute of Computing Technology, Chinese Academy of Sciences（计算技术研究所，中国科学院） ； State Key Laboratory of AI Safety（人工智能安全国家重点实验室） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments Accepted by SIGKDD 2025 (Research Track)

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models

Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang

机构 * School of Artificial Intelligence, International Center of Future Science（人工智能学院，未来科学国际中心） ； Huawei Technologies Ltd.（华为技术有限公司） ； School of Artificial Intelligence（人工智能学院） ； AI Centre University College London（伦敦大学学院人工智能中心） 纠错

Comments Accepted by KDD 2025 (ADS Track)

"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models

Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner

机构 * University of Applied Sciences Berlin（柏林应用科学大学） ； Charité - Universitätsmedizin Berlin（柏林夏里特医学院） ； University of Birmingham（伯明翰大学） 纠错

Comments KDD 2025 Research Track

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen

机构 * Gaoling School of Artificial Intelligence（人工智能学院） ； Renmin University of China（中国人民大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments Accepted by KDD 2025

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation

Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao

Comments Accepted by KDD 2025

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach

Jialei Chen, Yuanbo Xu, Yiheng Jiang

机构 * MIC Lab, College of Computer Science and Technology, Jilin University（微创新实验室，计算机科学与技术学院，吉林大学） 纠错

Journal ref Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '25), ACM, 2025

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating

Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen

机构 * Zhejiang University（浙江大学） 纠错

Comments Accepted by KDD 2025, Research Track

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models

Niloufar Alipour Talemi, Hossein Kashiani, Hossein R. Nowdeh, Fatemeh Afghah

机构 * Clemson University（克莱姆森大学） 纠错

Comments Accepted at the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation

Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen

Comments Accepted by KDD 2025 Research Track

Stealing Training Graphs from Graph Neural Networks

Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） 纠错

Comments Accepted in KDD 2025

Identifying Knowledge Editing Types in Large Language Models

Xiaopeng Li, Shasha Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Jun Ma, Jie Yu

机构 * National University of Denfense Technology（国防科技大学） 纠错

Comments Accepted by KDD 2025

FedGuCci: Making Local Models More Connected in Landscape for Federated Learning

Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane

机构 * University of Cambridge（剑桥大学） ； Zhejiang University（浙江大学） ； Georgia Institute of Technology（佐治亚理工学院） ； Westlake University（西湖大学） 纠错

Comments SIGKDD 2025

GiGL: Large-Scale Graph Neural Networks at Snapchat

Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah

Comments Accepted by KDD 2025

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision

Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang

机构 * Southern University of Science and Technology（南方科技大学） ； City University of Hong Kong（香港城市大学） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳）） 纠错

Comments Accepted as a full paper by KDD'25 - Research Track

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu

机构 * University of Oxford（牛津大学） ； University of Cambridge（剑桥大学） 纠错

Comments KDD 2025

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting

Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Microsoft Research Asia（微软亚洲研究院） ； Zhejiang University（浙江大学） ； Squirrel Ai Learning ； DAMO Academy, Alibaba Group（达摩院，阿里巴巴集团） 纠错

Comments Published/Accepted in ACM SIGKDD 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai

Comments Accepted by KDD 2025

Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening

Guoming Li, Jian Yang, Yifan Chen

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； University of Chinese Academy of Sciences（中国科学院大学） ； Hong Kong Baptist University（香港 Baptist 大学） 纠错

Comments Accepted at the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 February Cycle

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models

Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo

机构 * State University of New York at Binghamton（纽约州立大学布ingham顿分校） ； San Diego State University（圣地亚哥州立大学） ； University of Electronic Science and Technology of China（电子科技大学） ； Worcester Polytechnic Institute（沃思堡理工学院） ； Logistics and Supply Chain MultiTech R&D Centre（物流与供应链多技术研发中心） 纠错

Comments KDD 2025 accepted

Robustness Evaluation of Graph-based News Detection Using Network Structural Information

Xianghua Zeng, Hao Peng, Angsheng Li

Comments Accepted to Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025 (KDD 2025). 14 pages, 7 figures, 10 tables

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

Zhibo Hu, Chen Wang, Yanfeng Shu, Helen, Paik, Liming Zhu

机构 * The University of New South Wales（新南威尔士大学） ； CSIRO Data61（澳大利亚联邦科学与工业研究组织数据61） 纠错

Comments 12 pages, 9 figures

Journal ref KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona Spain August 25 - 29, 2024

Unsupervised Graph Clustering with Deep Structural Entropy

Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu

机构 * Beihang University（北航） ； NCEPU（华北电管局） ； School of Systems Engineering, TUDT（系统工程学院，TUDT） ； Didi Chuxing Technology Co., Ltd.（滴滴出行技术有限公司） ； KUST（昆明理工大学） 纠错

Comments Accepted to Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025 (KDD 2025). 13 pages, 10 figures, 11 tables

Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information

Yunhang He, Cong Xu, Jun Wang, Wei Zhang

Comments Accepted at KDD 2025

Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation

Ninh Pham, Rasmus Pagh

机构 * School of Computer Science University of Auckland（奥克兰大学计算机科学学院） ； Computer Science Department University of Copenhagen（哥本哈根大学计算机科学系） 纠错

Comments Extension of KDD 2013 and correcting the variance bound

Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus

Bangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu, Dingqi Yang, Philippe Cudre-Mauroux

机构 * University of Macau（澳门大学） ； BNU-HKBU United International College（北京师范大学-香港浸会大学联合国际学院） ； University of Fribourg（弗里堡大学） 纠错

Comments Accepted by KDD'25

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection

Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang

机构 * Zhejiang University（浙江大学） ； Zhejiang Lab（浙江实验室） 纠错

Comments Accepted by SIGKDD 2025

Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease

Ekaterina Kuzmina, Dmitrii Kriukov, Mikhail Lebedev, Dmitry V. Dylov

机构 * Skoltech ； Moscow Russian Federation（莫斯科俄罗斯联邦） ； AIRI ； Lomonosov Moscow State University（罗蒙诺索夫莫斯科国立大学） 纠错

Comments 8 pages, 3 figures, submission to KDD

3D-IDS: Doubly Disentangled Dynamic Intrusion Detection

Chenyang Qiu, Yingsheng Geng, Junrui Lu, Kaida Chen, Shitong Zhu, Ya Su, Guoshun Nan, Can Zhang, Junsong Fu, Qimei Cui, Xiaofeng Tao

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； HUAWEI Technologies Co., Ltd.（华为技术有限公司） 纠错

Comments Published in the proceedings of the KDD 2023 Research Track