KDD

Low Rank Multi-Dictionary Selection at Scale

Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov

Comments Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 25--29, 2024, Barcelona, Spain

Hate Speech Detection with Generalizable Target-aware Fairness

Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin

Comments To appear in KDD 2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias

Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang

Comments Accepted by KDD 2024

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Comments KDD'24 research paper

Modeling User Retention through Generative Flow Networks

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

Comments KDD-ADS 2024

GraphStorm: all-in-one graph machine learning framework for industry applications

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis

Journal ref KDD 2024

Dataset Condensation for Time Series Classification via Dual Domain Matching

Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu

Comments Accepted by KDD 2024 research track

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning

Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen

Comments accepted by KDD 2024

Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation

Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung

Comments Accepted by ACM KDD 2024

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training

Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng

Comments KDD 2024, ADS Track

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang

Comments Accpeted by KDD'2024

RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network

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

Comments Accepted at KDD 2024

GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security

Xuanqing Liu, Luyang Kong, Runhui Wang, Patrick Song, Austin Nevins, Henrik Johnson, Nimish Amlathe, Davor Golac

Comments KDD 2024 Camera Ready; 11 pages, 8 figures

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System

Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Minchul Yang, Chanyoung Park

Comments KDD 2024

Lumos : Empowering Multimodal LLMs with Scene Text Recognition

Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar

Comments Accepted to KDD 2024 (ADS Track)

Reconstructing Graph Diffusion History from a Single Snapshot

Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong

Comments Full version of the KDD 2023 paper (including the appendix)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou

Comments Accepted at KDD 2024

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning

Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan

Comments Accepted by KDD'24

Cross-Context Backdoor Attacks against Graph Prompt Learning

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang

Comments Accepted by KDD 2024

Double Correction Framework for Denoising Recommendation

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Comments Accepted by KDD 2024

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection

Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie

Comments 12 pages, 5 figures, accepted by KDD '23, ADS track

Journal ref KDD 2023

DPHGNN: A Dual Perspective Hypergraph Neural Networks

Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty

Comments Accepted in SIGKDD'24 -- Research Track

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu

Comments Accepted by KDD 2024 Research Track

AGS-GNN: Attribute-guided Sampling for Graph Neural Networks

Siddhartha Shankar Das, S M Ferdous, Mahantesh M Halappanavar, Edoardo Serra, Alex Pothen

Comments The paper has been accepted to KDD'24 in the research track

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran

Comments Accepted at KDD 2024

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang

Comments Accepted by KDD 2024

Journal ref KDD 2024

Conformal Counterfactual Inference under Hidden Confounding

Zonghao Chen, Ruocheng Guo, Jean-François Ton, Yang Liu

Comments Published in SIGKDD'24

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously

Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen

Comments Accepted by KDD 2024 research track

PATE: Proximity-Aware Time series anomaly Evaluation

Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax

Comments Accepted by ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024), Research Track. (Preprint version)

Effective Clustering on Large Attributed Bipartite Graphs

Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi

Comments The technical report for the paper was accepted to KDD 2024. 14 pages