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Christos Faloutsos

Carnegie Mellon University, Pittsburgh, USA

26 papers at tracked venues · 21 at CORE A* · active 2024–2025

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Venues

ICLR ×4ICDE ×3VLDB ×3EMNLP ×2ICML ×2NeurIPS ×2SIGKDD ×2WWW ×2AAAI ×1ACL ×1CIKM ×1NAACL ×1SDM ×1SIGIR ×1

Frequent coauthors

Karish Grover
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Meng-Chieh Lee
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Minjie Wang
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Hengrui Zhang
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Luca Masserano
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Jiaming Liang
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Minyoung Choe
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Xiyuan Zhang
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Christos Koutras
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Xuming Hu
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Tim Januschowski
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Costas Mavromatis
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Papers

  1. CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
    ICML 2025 ·
    Karish Grover
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  2. Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
    ICML 2025 ·
    Luca Masserano
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  3. Featpilot: Automatic Feature Augmentation on Tabular Data
    ICDE 2025 ·
    Jiaming Liang
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  4. HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
    ACL 2025 ·
    Meng-Chieh Lee
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  5. Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs
    WWW 2025 ·
    Minyoung Choe
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  6. Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
    NeurIPS 2025 ·
    Xiyuan Zhang
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  7. OmniMatch: Joinability Discovery in Data Products
    VLDB 2025 ·
    Christos Koutras
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  8. PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes
    NAACL 2025 ·
    Xuming Hu
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  9. Spectro-Riemannian Graph Neural Networks
    ICLR 2025 ·
    Karish Grover
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  10. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    NeurIPS 2024 ·
    Minjie Wang
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  11. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    VLDB 2024 ·
    Minjie Wang
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  12. A Flexible Forecasting Stack
    VLDB 2024 ·
    Tim Januschowski
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  13. CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
    EMNLP 2024 ·
    Costas Mavromatis
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  14. DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?
    ICDE 2024 ·
    Yuze Lou
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  15. EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series
    SDM 2024 ·
    Shamima Hossain
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  16. Graph Machine Learning Meets Multi-Table Relational Data
    SIGKDD 2024 ·
    Quan Gan
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  17. GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications
    SIGKDD 2024 ·
    Da Zheng
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  18. Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets
    ICDE 2024 ·
    Braulio Valentin Sanchez Vinces
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  19. Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
    ICLR 2024 ·
    Hengrui Zhang
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  20. NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features
    WWW 2024 ·
    Kentaro Miyake
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  21. NetInfoF Framework: Measuring and Exploiting Network Usable Information
    ICLR 2024 ·
    Meng-Chieh Lee
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  22. OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
    ICLR 2024 ·
    Kezhi Kong
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  23. Revisit Orthogonality in Graph-Regularized MLPs
    CIKM 2024 ·
    Hengrui Zhang
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  24. SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
    EMNLP 2024 ·
    Jielin Qiu
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  25. T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
    AAAI 2024 ·
    Pratheeksha Nair
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  26. TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
    SIGIR 2024 ·
    Jing Zhu
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