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Editions202620252024

SIGKDD 2024

A*

ACM Knowledge Discovery and Data Mining

Official site ↗
643
accepted papers
3,164
authors
August 25-29, 2024
dates
Spain
location

300 / 643 papers

  1. 1
    23rd International Workshop on Data Mining in Bioinformatics (BIOKDD 2024)
    Da Yan
    ,
    Ahmed Abdeen Hamed
    ,
    Jake Y. Chen
    ,
    Mohammed J. Zaki
  2. 2
    2nd Workshop on Causal Inference and Machine Learning in Practice
    Jeong-Yoon Lee
    ,
    Yifeng Wu
    ,
    Totte Harinen
    ,
    Jing Pan
    ,
    Paul Lo
    ,
    Zhenyu Zhao
    ,
    Huigang Chen
    ,
    Zeyu Zheng
    ,
    Hasta Vanchinathan
    ,
    Yingfei Wang
    ,
    Roland Stevenson
  3. 3
    3rd Workshop on End-End Customer Journey Optimization
    Shadow Zhao
    ,
    Mert Bay
    ,
    Anbang Xu
    ,
    Neha Gupta
  4. 4
    3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    Chen Zhao
    ,
    Feng Chen
    ,
    Xintao Wu
    ,
    Jundong Li
    ,
    Haifeng Chen
  5. 5
    3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
    Xujiang Zhao
    ,
    Chen Zhao
    ,
    Feng Chen
    ,
    Jin-Hee Cho
    ,
    Wei Hua
    ,
    Haifeng Chen
  6. 6
    A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN
    Zhen Wu
    ,
    Jingya Zhou
    ,
    Jinghui Zhang
    ,
    Ling Liu
    ,
    Chizhou Huang
  7. 7
    A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs
    Ahsanur Rahman
    ,
    Kalyan Roy
    ,
    Ramiza Maliha
    ,
    Townim Faisal Chowdhury
  8. 8
    A Hands-on Introduction to Time Series Classification and Regression
    Anthony J. Bagnall
    ,
    Matthew Middlehurst
    ,
    Germain Forestier
    ,
    Ali Ismail-Fawaz
    ,
    Antoine Guillaume
    ,
    David Guijo-Rubio
    ,
    Chang Wei Tan
    ,
    Angus Dempster
    ,
    Geoffrey I. Webb
  9. 9
    A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation
    Shoujin Wang
    ,
    Wentao Wang
    ,
    Xiuzhen Zhang
    ,
    Yan Wang
    ,
    Huan Liu
    ,
    Fang Chen
  10. 10
    A Hierarchical Context Augmentation Method to Improve Retrieval-Augmented LLMs on Scientific Papers
    Tian-Yi Che
    ,
    Xian-Ling Mao
    ,
    Tian Lan
    ,
    Heyan Huang
  11. 11
    A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
    Amitoz Azad
    ,
    Yuan Fang
  12. 12
    A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
    Wentao Zhang
    ,
    Lingxuan Zhao
    ,
    Haochong Xia
    ,
    Shuo Sun
    ,
    Jiaze Sun
    ,
    Molei Qin
    ,
    Xinyi Li
    ,
    Yuqing Zhao
    ,
    Yilei Zhao
    ,
    Xinyu Cai
    ,
    Longtao Zheng
    ,
    Xinrun Wang
    ,
    Bo An
  13. 13
    A Novel Feature Space Augmentation Method to Improve Classification Performance and Evaluation Reliability
    Sakhawat Hossain Saimon
    ,
    Tanzira Najnin
    ,
    Jianhua Ruan
  14. 14
    A Novel Prompt Tuning for Graph Transformers: Tailoring Prompts to Graph Topologies
    Jingchao Wang
    ,
    Zhengnan Deng
    ,
    Tongxu Lin
    ,
    Wenyuan Li
    ,
    Shaobin Ling
  15. 15
    A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
    Jiahui Gong
    ,
    Jingtao Ding
    ,
    Fanjin Meng
    ,
    Guilong Chen
    ,
    Hong Chen
    ,
    Shen Zhao
    ,
    Haisheng Lu
    ,
    Yong Li
  16. 16
    A Review of Graph Neural Networks in Epidemic Modeling
    Zewen Liu
    ,
    Guancheng Wan
    ,
    B. Aditya Prakash
    ,
    Max S. Y. Lau
    ,
    Wei Jin
  17. 17
    A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
    Yashar Deldjoo
    ,
    Zhankui He
    ,
    Julian J. McAuley
    ,
    Anton Korikov
    ,
    Scott Sanner
    ,
    Arnau Ramisa
    ,
    René Vidal
    ,
    Maheswaran Sathiamoorthy
    ,
    Atoosa Kasirzadeh
    ,
    Silvia Milano
  18. 18
    A Self-boosted Framework for Calibrated Ranking
    Shunyu Zhang
    ,
    Hu Liu
    ,
    Wentian Bao
    ,
    Enyun Yu
    ,
    Yang Song
  19. 19
    A Survey of Large Language Models for Graphs
    Xubin Ren
    ,
    Jiabin Tang
    ,
    Dawei Yin
    ,
    Nitesh V. Chawla
    ,
    Chao Huang
  20. 20
    A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Yue Gao
    ,
    Alessia Antelmi
    ,
    Mirko Polato
    ,
    Kijung Shin
  21. 21
    A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
    Wenqi Fan
    ,
    Yujuan Ding
    ,
    Liangbo Ning
    ,
    Shijie Wang
    ,
    Hengyun Li
    ,
    Dawei Yin
    ,
    Tat-Seng Chua
    ,
    Qing Li
  22. 22
    A Survey on Safe Multi-Modal Learning Systems
    Tianyi Zhao
    ,
    Liangliang Zhang
    ,
    Yao Ma
    ,
    Lu Cheng
  23. 23
    A Tutorial on Multi-Armed Bandit Applications for Large Language Models
    Djallel Bouneffouf
    ,
    Raphaël Féraud
  24. 24
    A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement
    Farnoosh Hashemi
    ,
    Ali Behrouz
  25. 25
    A Uniformly Bounded Correlation Function for Spatial Point Patterns
    Evgenia Martynova
    ,
    Johannes Textor
  26. 26
    ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes
    Shizhe Liu
    ,
    Haipeng Dai
    ,
    Shaoxu Song
    ,
    Meng Li
    ,
    Jingsong Dai
    ,
    Rong Gu
    ,
    Guihai Chen
  27. 27
    Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization
    Ariel Evnine
    ,
    Stratis Ioannidis
    ,
    Dimitris Kalimeris
    ,
    Shankar Kalyanaraman
    ,
    Weiwei Li
    ,
    Israel Nir
    ,
    Wei Sun
    ,
    Udi Weinsberg
  28. 28
    AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
    Weigang Lu
    ,
    Ziyu Guan
    ,
    Wei Zhao
    ,
    Yaming Yang
  29. 29
    Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
    Xiao Han
    ,
    Chen Zhu
    ,
    Xiao Hu
    ,
    Chuan Qin
    ,
    Xiangyu Zhao
    ,
    Hengshu Zhu
  30. 30
    AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling
    Fangzhou Yao
    ,
    Qi Liu
    ,
    Linan Yue
    ,
    Weibo Gao
    ,
    Jiatong Li
    ,
    Xin Li
    ,
    Yuanjing He
  31. 31
    Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
    Sheo Yon Jhin
    ,
    Seojin Kim
    ,
    Noseong Park
  32. 32
    Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
    Xiaowei Qian
    ,
    Zhimeng Guo
    ,
    Jialiang Li
    ,
    Haitao Mao
    ,
    Bingheng Li
    ,
    Suhang Wang
    ,
    Yao Ma
  33. 33
    AdKDD 2024
    Abraham Bagherjeiran
    ,
    Nemanja Djuric
    ,
    Kuang-Chih Lee
    ,
    Linsey Pang
    ,
    Vladan Radosavljevic
    ,
    Suju Rajan
  34. 34
    Ads Recommendation in a Collapsed and Entangled World
    Junwei Pan
    ,
    Wei Xue
    ,
    Ximei Wang
    ,
    Haibin Yu
    ,
    Xun Liu
    ,
    Shijie Quan
    ,
    Xueming Qiu
    ,
    Dapeng Liu
    ,
    Lei Xiao
    ,
    Jie Jiang
  35. 35
    ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
    Ruize Wang
    ,
    Hui Xu
    ,
    Ying Cheng
    ,
    Qi He
    ,
    Xing Zhou
    ,
    Rui Feng
    ,
    Wei Xu
    ,
    Lei Huang
    ,
    Jie Jiang
  36. 36
    Advances in Human Event Modeling: From Graph Neural Networks to Language Models
    Songgaojun Deng
    ,
    Maarten de Rijke
    ,
    Yue Ning
  37. 37
    Advancing Molecule Invariant Representation via Privileged Substructure Identification
    Ruijia Wang
    ,
    Haoran Dai
    ,
    Cheng Yang
    ,
    Le Song
    ,
    Chuan Shi
  38. 38
    AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
    Siddhartha Shankar Das
    ,
    S. M. Ferdous
    ,
    Mahantesh M. Halappanavar
    ,
    Edoardo Serra
    ,
    Alex Pothen
  39. 39
    AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning
    Qingsong Wen
    ,
    Jing Liang
    ,
    Carles Sierra
    ,
    Rose Luckin
    ,
    Richard Jiarui Tong
    ,
    Zitao Liu
    ,
    Peng Cui
    ,
    Jiliang Tang
  40. 40
    AI for Nature: From Science to Impact
    Tanya Y. Berger-Wolf
  41. 41
    AIM: Attributing, Interpreting, Mitigating Data Unfairness
    Zhining Liu
    ,
    Ruizhong Qiu
    ,
    Zhichen Zeng
    ,
    Yada Zhu
    ,
    Hendrik F. Hamann
    ,
    Hanghang Tong
  42. 42
    Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
    Chen Zhao
    ,
    Kai Jiang
    ,
    Xintao Wu
    ,
    Haoliang Wang
    ,
    Latifur Khan
    ,
    Christan Grant
    ,
    Feng Chen
  43. 43
    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
  44. 44
    An Efficient Local Search Algorithm for Large GD Advertising Inventory Allocation with Multilinear Constraints
    Xiang He
    ,
    Wuyang Mao
    ,
    Zhenghang Xu
    ,
    Yuanzhe Gu
    ,
    Yundu Huang
    ,
    Zhonglin Zu
    ,
    Liang Wang
    ,
    Mengyu Zhao
    ,
    Mengchuan Zou
  45. 45
    An Efficient Subgraph GNN with Provable Substructure Counting Power
    Zuoyu Yan
    ,
    Junru Zhou
    ,
    Liangcai Gao
    ,
    Zhi Tang
    ,
    Muhan Zhang
  46. 46
    An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs
    Zheng Gong
    ,
    Ying Sun
  47. 47
    An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
    Taeyoung Yun
    ,
    Kanghoon Lee
    ,
    Sujin Yun
    ,
    Ilmyung Kim
    ,
    Won-Woo Jung
    ,
    Min-Cheol Kwon
    ,
    Kyujin Choi
    ,
    Yoohyeon Lee
    ,
    Jinkyoo Park
  48. 48
    An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
    Fudong Lin
    ,
    Kaleb Guillot
    ,
    Summer Crawford
    ,
    Yihe Zhang
    ,
    Xu Yuan
    ,
    Nian-Feng Tzeng
  49. 49
    An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
    Huaiyuan Liu
    ,
    Xianzhang Liu
    ,
    Donghua Yang
    ,
    Hongzhi Wang
    ,
    Yingchi Long
    ,
    Mengtong Ji
    ,
    Dongjing Miao
    ,
    Zhiyu Liang
  50. 50
    AnyLoss: Transforming Classification Metrics into Loss Functions
    Do Heon Han
    ,
    Nuno Moniz
    ,
    Nitesh V. Chawla