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SIGKDD 2026

A*

ACM Knowledge Discovery and Data Mining

Official site ↗
257
accepted papers
252
authors
August 9-13, 2026
dates
Korea
location

257 / 257 papers

  1. 1
    A Multi-Stage Structural Captioning Framework for Enhancing Chinese Image-to-Video Generation in Baidu
    Lei Shen
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  2. 2
    AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching
    Wenda Wang
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  3. 3
    ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions
    Krishna Khadka
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  4. 4
    Accelerated Coordinate Descent for Directed Densest Subgraph Discovery
    Luocheng Liang
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  5. 5
    Accelerating Storage-based Training for Graph Neural Networks
    Myung-Hwan Jang
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  6. 6
    ACT: An Adaptive Combinatorial Testing Framework at Scale
    Yingying Chen
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  7. 7
    Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
    Fan Xu
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  8. 8
    Adversarial Signed Graph Learning with Differential Privacy
    Haobin Ke
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  9. 9
    AHA: Scalable Alternative History Analysis for Operational Timeseries Applications
    Harshavardhan Kamarthi
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  10. 10
    ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
    Santosh Rajagopalan
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  11. 11
    Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation
    Yongfu Zha
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  12. 12
    AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging
    Xiaobin Ren
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  13. 13
    APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training
    Xuebo Qiu
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  14. 14
    ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
    Sejin Kim
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  15. 15
    ARES: Anomaly Recognition Model For Edge Streams
    Simone Mungari
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  16. 16
    ASTAFN: Bridging the Gap Between Weather Foundation Models and Accurate Station-Level Forecasting
    Bihe Xu
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  17. 17
    AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
    Xiaoyu Tan
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  18. 18
    Automated Annotation of Privacy Information in User Interactions with Large Language Models
    Hang Zeng
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  19. 19
    Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation
    Hang Lv
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  20. 20
    Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection
    Chunyu Wei
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  21. 21
    Bayesian Robust Financial Trading with Adversarial Synthetic Market Data
    Haochong Xia
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  22. 22
    Benchmarking Positional Encodings for GNNs and Graph Transformers
    Florian Grötschla
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  23. 23
    Beyond Basic A/B Testing: Improving Statistical Efficiency for Business Growth
    Changshuai Wei
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  24. 24
    Beyond Content: Integrating Generated User Intent and Planned Behavior Theory for Reliable Fake News Detection
    Ling Sun
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  25. 25
    Beyond Routines: Adaptive Mobility Prediction via Sequential-Relational Fusion
    Tianao Sun
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  26. 26
    BiCD: Learning Conditional Dependence for Continuous Dataset Shift in Regression
    Hongrui Chen
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  27. 27
    Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
    Ziwen Wang
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  28. 28
    Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space
    Tianlong Xu
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  29. 29
    BSP k-Means
    Sebastian Künzel
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  30. 30
    Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
    Riya Ponraj
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  31. 31
    Caesar: Optimizing Federated Learning via Low-deviation Compression
    Jiaming Yan
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  32. 32
    Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?
    Weixian Waylon Li
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  33. 33
    Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
    Yun Qu
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  34. 34
    Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
    Petr Philonenko
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  35. 35
    Case Study: Learning Robust, Long-run Surrogate Metrics with Modeling and Instrumental Variables
    Daniel Day
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  36. 36
    CAVIAR: Disentangling Root Causes with an ICA-based VAE for Large-Scale Microservice Systems
    Xinrui Jiang
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  37. 37
    Certified Defense on the Fairness of Graph Neural Networks
    Yushun Dong
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  38. 38
    CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
    Mingyuan Li
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  39. 39
    ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction
    Haihong Zhao
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  40. 40
    Chat2Trade: Automating Financial RFQ Parsing with Fine-Tuned LLMs
    Yixuan Cao
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  41. 41
    Choice Modeling and Pricing for Scheduled Services
    Adam N. Elmachtoub
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  42. 42
    CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity
    Tingjin Luo
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  43. 43
    CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility
    Yulong Li
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  44. 44
    Communication-efficient Federated Graph Classification via Generative Diffusion Modeling
    Xiuling Wang
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  45. 45
    Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation
    Siyuan Li
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  46. 46
    Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization
    Yi He
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  47. 47
    CoPHo: Classifier-guided Conditional Topology Generation with Persistent Homology
    Gongli Xi
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  48. 48
    Countering Overfitting with Counterfactual Examples
    Flavio Giorgi
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  49. 49
    CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
    HuiJeong Son
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  50. 50
    Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
    Haoran Zheng
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