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SIGKDD 2025

A*

ACM Knowledge Discovery and Data Mining

Official site ↗
846
accepted papers
816
authors
August 3-7, 2025
dates
Canada
location

846 / 846 papers

  1. 1
    'Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree': Zero-Shot Decision Tree Induction and Embedding with Large Language Models
    Ricardo Knauer
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  2. 2
    24th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)
    Da Yan
    DBLP profile ↗ORCID 0000-0002-4653-0408 ↗
  3. 3
    3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors
    Xufeng Liu
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  4. 4
    3rd Workshop on Causal Inference and Machine Learning in Practice
    Jeong-Yoon Lee
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  5. 5
    4th Workshop on End-End Customer Journey Optimization
    Hongying Zhao
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  6. 6
    4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
    Xujiang Zhao
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  7. 7
    8th Workshop on Machine Learning in Finance
    Saurabh Nagrecha
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  8. 8
    A Context based Personalized Deep Network for Nearby Flight Recommendation
    Maolei Huang
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  9. 9
    A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data
    Seungyeon Lee
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  10. 10
    A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments
    Yuchen Ma
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  11. 11
    A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
    Yuanhao Liu
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  12. 12
    A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization
    Yue Zhong
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  13. 13
    A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation
    Clarice Wang
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  14. 14
    A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
    D. Subhalingam
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  15. 15
    A Fraudulent Blind Shipment Detection Framework in Logistics
    Hongyu Lin
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  16. 16
    A Guide to Misinformation Detection Data and Evaluation
    Camille Thibault
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  17. 17
    A Hands-on Tutorial on Time Series Imputation with ImputeGAP
    Quentin Nater
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  18. 18
    A Neuro-Symbolic Approach to Symbol Grounding for ALC-Ontologies
    Xuan Wu
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  19. 19
    A Scalable and Efficient Signal Integration System for Job Matching
    Ping Liu
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  20. 20
    A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
    Yu Song
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  21. 21
    A Structure-aware Invariant Learning Framework for Node-level Graph OOD Generalization
    Ruiwen Yuan
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  22. 22
    A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
    Liangbo Ning
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  23. 23
    A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
    Kun Yi
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  24. 24
    A Survey on Model Extraction Attacks and Defenses for Large Language Models
    Kaixiang Zhao
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  25. 25
    A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
    Fali Wang
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  26. 26
    A Survey on Trustworthy LLM Agents: Threats and Countermeasures
    Miao Yu
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  27. 27
    A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare
    Ran Xu
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  28. 28
    A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction
    Kaiwen Xia
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  29. 29
    A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
    Chen Gong
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  30. 30
    A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding
    Chuan Zhou
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  31. 31
    A Unified Invariant Learning Framework for Graph Classification
    Yongduo Sui
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  32. 32
    A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
    Xiangxiang Dai
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  33. 33
    A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning
    Jun Bai
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  34. 34
    A Universal Model for Human Mobility Prediction
    Qingyue Long
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  35. 35
    A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference
    Jingxu Xu
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  36. 36
    Abductive Learning for Neuro-Symbolic Grounded Imitation
    Jie-Jing Shao
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  37. 37
    Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation
    Junghun Kim
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  38. 38
    Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations
    Lanjihong Ma
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  39. 39
    Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
    Hyunsik Jeon
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  40. 40
    Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
    Tong Li
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  41. 41
    Adapting to Generalized Online Label Shift by Invariant Representation Learning
    Yu-Yang Qian
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  42. 42
    Adaptive Conformal Prediction Intervals for Invariant Learning
    Shuxin Liang
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  43. 43
    Adaptive Domain Inference Attack with Concept Hierarchy
    Yuechun Gu
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  44. 44
    Addressing and Visualizing Misalignments in Human Task-Solving Trajectories
    Sejin Kim
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  45. 45
    Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
    Shuqiang Zhang
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  46. 46
    AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data
    Qinchen Yang
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  47. 47
    AdKDD 2025
    Abraham Bagherjeiran
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  48. 48
    ADMIRE: ADaptive method to enhance Multiple Image REsolutions in text-rich multi-image understanding
    Qipeng Zhu
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  49. 49
    Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures
    John Paparrizos
    DBLP profile ↗ORCID 0000-0002-7592-748X ↗
  50. 50
    Advancing Confidence Calibration and Quantification in Medication Recommendation
    Qianyu Chen
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