KDD - arXivDaily 期刊&会议

2402.11838 2024-07-02 cs.LG

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li

Comments 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2024

2407.00113 2024-07-02 cs.LG cs.AI

Personalized Federated Continual Learning via Multi-granularity Prompt

Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li

Comments Accepted by KDD 2024 Research Track

2407.00082 2024-07-02 cs.IR cs.AI cs.LG

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning

Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu

Comments Accepted by KDD 24 Research Track

2406.04609 2024-07-02 cs.LG cs.AI

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition

Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu

Comments The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)

2401.13200 2024-07-02 cs.LG

Topology-aware Embedding Memory for Continual Learning on Expanding Networks

Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao

Comments This paper has been accepted by KDD 2024

2402.07647 2024-07-01 cs.IR

GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants

Sophie Fischer, Carlos Gemmell, Niklas Tecklenburg, Iain Mackie, Federico Rossetto, Jeffrey Dalton

Comments 11 pages, KDD Preprint

2311.09735 2024-07-01 cs.LG cs.IR

GEO: Generative Engine Optimization

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande

Comments Accepted to KDD 2024

2406.19143 2024-06-28 cs.DB cs.DS

QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams

Yiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing

Comments 12 pages, 10 figures, accepted by KDD 2024

2310.11009 2024-06-28 cs.LG

LPFormer: An Adaptive Graph Transformer for Link Prediction

Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang

Comments KDD'24

2406.18254 2024-06-27 cs.IR cs.AI cs.MM

Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning

Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu

Comments Accepted by KDD 2024 Research Track

2405.19046 2024-06-27 cs.IR

Continual Collaborative Distillation for Recommender System

Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu

Comments Accepted by KDD 2024 research track. 9 main pages + 1 appendix page, 5 figures

2405.10490 2024-06-27 stat.ME cs.AI cs.IR cs.LG math.OC

Neural Optimization with Adaptive Heuristics for Intelligent Marketing System

Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida

Comments KDD 2024

2406.17706 2024-06-26 cs.LG cs.CL cs.DC

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model

Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao

Comments KDD 2024

2406.17475 2024-06-26 cs.IR cs.LG

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems

Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan

Comments SIGKDD 2024 accepted paper

2406.17182 2024-06-26 cs.IR cs.LG

Debiased Recommendation with Noisy Feedback

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Comments KDD 24 Research Track Paper

2406.10608 2024-06-26 cs.DS cs.SI

Scalable Temporal Motif Densest Subnetwork Discovery

Ilie Sarpe, Fabio Vandin, Aristides Gionis

Comments Extended version of the accepted KDD'24 paper

2208.09900 2024-06-25 cs.LG math.OC

Provable Adaptivity of Adam under Non-uniform Smoothness

Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen

Comments KDD 2024

2406.16357 2024-06-25 cs.LG cs.AI cs.SI

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification

Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu

Comments Accepted by KDD 2024. The two first authors made equal contributions

2406.16077 2024-06-25 cs.LG cs.CV

Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images

Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb

Comments Accepted in KDD 2024

2406.10425 2024-06-25 cs.LG

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

Journal ref Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25--29, 2024, Barcelona, Spain

2402.11235 2024-06-25 cs.LG

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs

Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li

Comments Accepted by SIGKDD 2024, research track

2402.09834 2024-06-25 cs.LG

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining

Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li

Comments Accepted to KDD'24, August 25-29, 2024, Barcelona, Spain

2310.11787 2024-06-24 cs.LG

NeuroCUT: A Neural Approach for Robust Graph Partitioning

Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu

Comments To appear in Knowledge Discovery and Data Mining(KDD), 2024

2406.14635 2024-06-24 cs.AI cs.LG

Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments

Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He

Comments Accepted in KDD 2024 ADS Track

2406.13996 2024-06-24 cs.IR

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering

Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie

Comments KDD 2024

2311.02485 2024-06-23 cs.LG cs.AI

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities

Wenchong He, Zhe Jiang

Comments Oral presentation in UDM-KDD'23. arXiv admin note: text overlap with arXiv:2302.13425

2406.14537 2024-06-21 cs.LG q-fin.TR

MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading

Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An

Comments Accepted to KDD 2024

2406.14288 2024-06-21 cs.LG cs.AI

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen

Comments KDD 2024 research track. Code available at https://github.com/EdisonLeeeee/MAGI

2406.14255 2024-06-21 cs.CV

DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation

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

Comments Accepted by KDD 2024, camera-ready version

2406.14169 2024-06-21 cs.IR cs.LG

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning

Amit Sharma, Hua Li, Xue Li, Jian Jiao

Comments Accepted at KDD 2024