KDD

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning

Yunze Luo, Yuezihan Jiang, Yinjie Jiang, Gaode Chen, Jingchi Wang, Kaigui Bian, Peiyi Li, Qi Zhang

Comments 11 pages, 4 figures, published in KDD '25

Journal ref Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 (2025) 927 - 937

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams

Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai

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

Comments ACM SIGKDD 2025 (KDD2025)

SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022

Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou

机构 * Baidu Research（百度研究） ； Baidu Inc.（百度公司） ； Longyuan Power Group Corp. Ltd.（隆源电力集团有限公司） ； Tsinghua University（清华大学） 纠错

Comments This is a journal paper published in Scientific Data, titled SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array. The released sdwpf_full dataset provides more comprehensive information than the dataset made available for the KDD Cup 2022

Journal ref Zhou, J., Lu, X., Xiao, Y. et al. SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array. Sci Data 11, 649 (2024)

MODP: Multi Objective Directional Prompting

Aashutosh Nema, Samaksh Gulati, Evangelos Giakoumakis, Bipana Thapaliya

机构 * Dell Technologies（戴尔技术） 纠错

Comments 10 pages, 5 figures, submission to KDD 2025

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

Liang-bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang

机构 * The Hong Kong Polytechnic University（香港理工大学） 纠错

Comments Accepted by KDD 2024;

Fair Set Cover

Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh

Comments To appear in KDD 2025

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events

Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka

Comments Accepted by KDD 2025

More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce

Tong Piao, Pei Tang, Zhipeng Zhang, Jiaqi Li, Qiao Liu, Zufeng Wu

Comments Accepted by KDD workshop 2024

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain

Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath

Comments Accepted to KDD 2024

Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning

Gongzhu Yin, Hongli Zhang, Yuchen Yang, Yi Luo

Comments To be published in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 (KDD'25)

TransPlace: Transferable Circuit Global Placement via Graph Neural Network

Yunbo Hou, Haoran Ye, Shuwen Yang, Yingxue Zhang, Siyuan Xu, Guojie Song

Comments Accepted at KDD 2025

CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions

Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai

Comments The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2025)

Non-autoregressive Generative Models for Reranking Recommendation

Yuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang

Comments Accepted by KDD 2024

Adaptive Machine Learning for Resource-Constrained Environments

Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo

Comments 17 pages, 11 figures, accepted at DELTA 2024 (Workshop on Discovering Drift Phenomena in Evolving Landscapes), co-located with ACM SIGKDD 2024. This preprint has not undergone peer review. The Version of Record is available at https://doi.org/10.1007/978-3-031-82346-6_1

Journal ref Discovering Drift Phenomena in Evolving Landscapes, Lecture Notes in Computer Science, LNCS 15013, Springer, 2025, pp. 3-19

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory

Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu

Comments Accepted by KDD 2025

TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model

Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma

Comments Accepted to ACM SIGKDD 2025 Research Track. The code and preprocessed data are available at https://github.com/waylonli/TSPRank-KDD2025

Predicting Potential Customer Support Needs and Optimizing Search Ranking in a Two-Sided Marketplace

Do-kyum Kim, Han Zhao, Huiji Gao, Liwei He, Malay Haldar, Sanjeev Katariya

Comments TSMO Workshop in conjunction with KDD 2024

Covering Cracks in Content Moderation: Delexicalized Distant Supervision for Illicit Drug Jargon Detection

Minkyoo Song, Eugene Jang, Jaehan Kim, Seungwon Shin

Comments Accepted for publication in the KDD 2025 Research Track

Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning

Sunwoo Lee

Comments Published in KDD 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Dong Shu, Chong Zhang, Mingyu Jin, Zihao Zhou, Lingyao Li, Yongfeng Zhang

Comments Accepted by ACM SIGKDD Explorations 2025

Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams

Nardine Basta, Conor Atkins, Dali Kaafar

Journal ref Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration

Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He

Comments KDD 2025

BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning

Yu Zhou, Bingyan Liu

Comments accepted as KDD 2025 research track paper

Tensor-Fused Multi-View Graph Contrastive Learning

Yujia Wu, Junyi Mo, Elynn Chen, Yuzhou Chen

Journal ref The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025

A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs

Amitoz Azad, Yuan Fang

Comments Accepted at KDD 2024 Research Track

Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem

Oleg Kachan, Andrey Savchenko, Gleb Gusev

Comments Accepted at KDD 2025 (research track)

A Synthetic Benchmark to Explore Limitations of Localized Drift Detections

Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis

Comments Paper accepted at DELTA Workshop @ KDD 2024

Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method

Guanyu Cui, Hanzhi Wang, Zhewei Wei

Comments Technical Report. Full Paper Accepted by KDD 2025 (August Cycle)

Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space

Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li

Journal ref KDD 2024

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence

Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan

Comments Accepted at KDD 2025