KDD

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels

Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu

Comments Accepted by 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'25)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation

Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu

Comments This paper is accepted by KDD'2025

Generative Retrieval for Book search

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng

Comments Accepted at KDD ADS 2025

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi

Comments KDD 2025

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning

Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian

Comments Accepted by SIGKDD 2025 (camera-ready version). Due to the space limitation, please refer to the V2 version for more details

Dynamic Localisation of Spatial-Temporal Graph Neural Network

Wenying Duan, Shujun Guo, Wei huang, Hong Rao, Xiaoxi He

Comments This paper was accepted by KDD'25

A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records

Marco Barbero Mota, John M. Still, Jorge L. Gamboa, Eric V. Strobl, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko

Comments Received Runner-up Knowledge Discovery and Data Mining Innovation Award at the American Medical Informatics Association Annual Symposium 2024

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective

Zhangchi Zhu, Wei Zhang

Comments ACM KDD 2025 Accepted

LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating

Deguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang, Chenting Gong, Xiao Tan, Jizhou Huang, Mengmeng Yang, Diange Yang

Comments Accepted by KDD 2025, camera-ready version

Lorentzian Residual Neural Networks

Neil He, Menglin Yang, Rex Ying

Comments 12 pages, 3 figures, KDD 2025

PraFFL: A Preference-Aware Scheme in Fair Federated Learning

Rongguang Ye, Wei-Bin Kou, Ming Tang

Comments Accepted by KDD 2025

Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction

Jiahao Ji, Wentao Zhang, Jingyuan Wang, Chao Huang

Comments 12 pages, 10 figures, Accepted by KDD 2025

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

Comments Accepted by KDD 2025 research track

Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning

Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang

Comments Will appear in KDD 2025

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications

Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin

Comments KDD 2025

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting

Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu

Comments Accepted by KDD 2025 Research Track

DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting

Daojun Liang, Haixia Zhang, Dongfeng Yuan

Comments Published at KDD 2025

Journal ref KDD 2025

Boosting Explainability through Selective Rationalization in Pre-trained Language Models

Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu

Comments KDD 2025 research track

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation

Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang

Comments Accepted by KDD 2025

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy

Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu

Comments Accepted by KDD 25

Predicting Customer Lifetime Value Using Recurrent Neural Net

Huigang Chen, Edwin Ng, Slawek Smyl, Gavin Steininger

Comments 4 pages, 4 figures, first presented in Customer Journey Optimization Workshop in KDD 2022

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation

Cheems Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji

Comments Accepted by KDD 2025. The project is available at https://sites.google.com/view/ar-metalearn

MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version

Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang

Comments This is an extended version of the paper accepted by KDD 2025

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng

Comments Accepted by SIGKDD 2025

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema

Xiaohan Feng, Xixin Wu, Helen Meng

Comments Presented at HI-AI@KDD, Human-Interpretable AI Workshop at the KDD 2024, 26th of August 2024, Barcelona, Spain

Journal ref CEUR Workshop Proceedings 3841 (2024) 117-135

A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data

Seungyeon Lee, Ruoqi Liu, Feixiong Cheng, Ping Zhang

Comments To be published in KDD 2025

Fairness without Demographics through Learning Graph of Gradients

Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu

Comments Published/Accepted in KDD 2025 (August Cycle)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du

Comments Accepted by SIGKDD Explorations Newsletter

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis

Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma

Comments Jiaqi Wang and Ziyi Yin equally contributed to this paper. This paper has been accepted by KDD 2025

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship

Yeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim

Comments Accepted by ACM KDD 2025