KDD

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

MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning

Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang

Comments KDD 2024, 11 pages(9 main, 2 ref, 1 App) Openreview https://openreview.net/forum?id=JwecLNhWDy&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DKDD.org%2F2024%2FResearch_Track%2FAuthors%23your-submissions)

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu

Comments Accepted by KDD 2024 (Research track)

SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection

Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao

Comments KDD 2024

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection

Zhanguang Zhang, Didier Chetelat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan

Comments Accepted by KDD 2024

UrbanGPT: Spatio-Temporal Large Language Models

Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Comments Accepted by KDD'2024 as Full Paper

HiGPT: Heterogeneous Graph Language Model

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Comments Accepted by KDD'2024, full paper

Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest

XiaoYu Wang, YongHui Guo, Hui Sheng, Peili Lv, Chi Zhou, Wei Huang, ShiQin Ta, Dongbo Huang, XiuJin Yang, Lan Xu, Hao Zhou, Yusheng Ji

Comments 12 pages, 4 figures, accepted at ACM SIGKDD 2024

Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction

Ruijie Hou, Zhaoyang Yang, Yu Ming, Hongyu Lu, Zhuobin Zheng, Yu Chen, Qinsong Zeng, Ming Chen

Comments Accepted by KDD 2024

Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data

Arash Hajisafi, Haowen Lin, Yao-Yi Chiang, Cyrus Shahabi

Comments This preprint has not undergone any post-submission improvements or corrections. The Version of Record of this contribution is published in the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), Taipei, Taiwan, May 7-10, 2024, and is available online at https://doi.org/10.1007/978-981-97-2238-9_16

Journal ref Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'24). Singapore: Springer Nature Singapore, 2024