KDD

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi

Comments accepted by KDD 2025

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu

Comments Accepted by KDD workshop on Evaluation and Trustworthiness of Generative AI Models

Journal ref https://genai-evaluation-kdd2024.github.io/genai-evalution-kdd2024/assets/papers/GenAI_Evaluation_KDD2024_paper_5.pdf

Bringing Multimodality to Amazon Visual Search System

Xinliang Zhu, Michael Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Yao, Doug Gray, Anuj Bindal, Arnab Dhua

Journal ref Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Why Not Together? A Multiple-Round Recommender System for Queries and Items

Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang

Comments KDD 2025

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data

Soroush Omranpour, Guillaume Rabusseau, Reihaneh Rabbany

Comments KDD 2024 Workshop on Machine Learning in Finance

Multi-level Matching Network for Multimodal Entity Linking

Zhiwei Hu, Víctor Gutiérrez-Basulto, Ru Li, Jeff Z. Pan

Comments Accepted at KDD'25

Annotation-guided Protein Design with Multi-Level Domain Alignment

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

Comments Accepted by KDD 2025

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models

Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian

Comments KDD 2025

ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving

Rongqing Li, Changsheng Li, Yuhang Li, Hanjie Li, Yi Chen, Dongchun Ren, Ye Yuan, Guoren Wang

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

Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation

Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen

Comments Accepted by KDD 2025

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning

Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou

Comments Accepted by KDD 2025

Semantic Retrieval at Walmart

Alessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie, Anirudh Kashi, Tony Lee, Ciya Liao

Comments 9 page, 2 figures, 10 tables, KDD 2022

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang

Comments 10 pages. Accepted as a conference paper at KDD '23

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction

João Mattos, Zexi Huang, Mert Kosan, Ambuj Singh, Arlei Silva

Comments To appear at the 31st SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (August 2024 Deadline)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph

Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai

Comments Accepted by KDD 2025

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation

Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li

Comments Accepted by KDD2025. The KDD version is titled ''Abductive Learning for Neuro-Symbolic Grounded Imitation''

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data

Qinchen Yang, Zhiqing Hong, Dongjiang Cao, Haotian Wang, Zejun Xie, Tian He, Yunhuai Liu, Yu Yang, Desheng Zhang

Comments Accepted by KDD'25 ADS Track

Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences

Gwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu

Comments KDD 2025

Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity

Dongyue Li, Aneesh Sharma, Hongyang R. Zhang

Comments 16 pages. Appeared in KDD 2024

MLDGG: Meta-Learning for Domain Generalization on Graphs

Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li

Comments Accepted in KDD 2025 (research track)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

Comments Accepted by KDD 2025

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin

Comments Accepted by KDD'25

Spectral Subspace Clustering for Attributed Graphs

Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke

Comments 15 pages. Full version of the paper accepted to KDD 2025

Blockchain for Large Language Model Security and Safety: A Holistic Survey

Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang

Comments Accepted to SIGKDD Explorations, to appear Dec 2024

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting

Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song

Comments Accepted by KDD'24

A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification

D. Subhalingam, Keshav Kolluru, Mausam, Saurabh Singal

Comments Accepted to KDD 2025 ADS Track

MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering

Mitchell DeHaven

Comments Accepted to CRAG KDD Cup 24 Workshop

NetAurHPD: Network Auralization Hyperlink Prediction Model to Identify Metabolic Pathways from Metabolomics Data

Tamir Bar-Tov, Rami Puzis, David Toubiana

Comments 10 pages, 9 figures, 1 tables, "Submitted to KDD 2025"

Exploring Large Language Models for Feature Selection: A Data-centric Perspective

Dawei Li, Zhen Tan, Huan Liu

Comments Accepted by SIGKDD Explorations (December 2024)

Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation

Sebastian Basterrech

Comments KDD'2024. Workshop on Drift Detection and Landscape Shifts