Preprint CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection 2025 Grover K, Gordon GJ, Faloutsos C
Conference Featpilot: Automatic Feature Augmentation on Tabular Data 2025 • Proceedings - International Conference on Data Engineering • 00:2148-2160 Liang J, Lei C, Qin X, Zhang J, Katsifodimos A, Faloutsos C, Rangwala H
Conference HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases 2025 879-893 Lee M-C, Zhu Q, Mavromatis C, Han Z, Adeshina S, Ioannidis VN, Rangwala H, Faloutsos C
Conference Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs 2025 • PROCEEDINGS OF THE ACM WEB CONFERENCE 2025, WWW 2025 • 1261-1272 Choe M, Ko J, Kwon T, Shin K, Faloutsos C
Preprint LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes 2025 Dai Z, Lei C, Katsifodimos A, Qin X, Faloutsos C, Rangwala H
Conference PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes 2025 384-395 Hu X, Lei C, Qin X, Katsifodimos A, Faloutsos C, Rangwala H
Journal Article Principled Mining, Forecasting, and Monitoring of Honeybee Time Series with EBV 2025 • ACM Transactions on Knowledge Discovery from Data • 19(5): Hossain MS, Faloutsos C, Baer B, Tsotras VJ, Kim H
Preprint Spectro-Riemannian Graph Neural Networks 2025 Grover K, Yu H, Song X, Zhu Q, Xie H, Ioannidis VN, Faloutsos C
Conference SPECTRO-RIEMANNIAN GRAPH NEURAL NETWORKS 2025 • 13th International Conference on Learning Representations Iclr 2025 • 4211-4237 Grover K, Yu H, Song X, Zhu Q, Xie H, Ioannidis VN, Faloutsos C
Conference 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs 2024 • Advances in Neural Information Processing Systems • 37: Wang M, Gan Q, Wipf D, Cai Z, Li N, Tang J, Zhang Y, Zhang Z, Mao Z, Song Y, Wang Y, Li J, Zhang H, Yang G, Qin X, Lei C, Zhang M, Zhang W, Faloutsos C, Zhang Z
Preprint 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs 2024 Wang M, Gan Q, Wipf D, Cai Z, Li N, Tang J, Zhang Y, Zhang Z, Mao Z, Song Y, Wang Y, Li J, Zhang H, Yang G, Qin X, Lei C, Zhang M, Zhang W, Faloutsos C, Zhang Z
Conference A Flexible Forecasting Stack 2024 • Proceedings of the VLDB Endowment • 17(12):3883-3892 Januschowski T, Wang Y, Gasthaus J, Rangapuram S, Türkmen C, Zschiegner J, Stella L, Bohlke-Schneider M, Maddix D, Benidis K, Alexandrov A, Faloutsos C, Schelter S
Conference CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage 2024 21268-21286 Mavromatis C, Srinivasan B, Shen Z, Zhang J, Rangwala H, Faloutsos C, Karypis G
Conference DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? 2024 • Proceedings - International Conference on Data Engineering • 00:5170-5176 Lou Y, Lei C, Qin X, Wang Z, Faloutsos C, Anubhai R, Rangwala H
Chapter DIFFFIND: Discovering Differential Equations from Time Series 2024 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 14650:175-187 Posam L, Shekhar S, Lee M-C, Faloutsos C
Conference EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series 2024 • PROCEEDINGS OF THE 2024 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDM • 298-306 Hossain MS, Faloutsos C, Baer B, Kim H, Tsotras VJ
Preprint EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series 2024 Hossain MS, Faloutsos C, Baer B, Kim H, Tsotras VJ
Preprint FeatNavigator: Automatic Feature Augmentation on Tabular Data 2024 Liang J, Lei C, Qin X, Zhang J, Katsifodimos A, Faloutsos C, Rangwala H
Conference Graph Machine Learning Meets Multi-Table Relational Data 2024 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 6502-6512 Gan Q, Wang M, Wipf D, Faloutsos C
Conference GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications 2024 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • 6356-6367 Zheng D, Song X, Zhu Q, Zhang J, Vasiloudis T, Ma R, Zhang H, Wang Z, Adeshina S, Nisa I, Mottini A, Cui Q, Rangwala H, Zeng B, Faloutsos C, Karypis G
Preprint GraphStorm: all-in-one graph machine learning framework for industry applications 2024 Zheng D, Song X, Zhu Q, Zhang J, Vasiloudis T, Ma R, Zhang H, Wang Z, Adeshina S, Nisa I, Mottini A, Cui Q, Rangwala H, Zeng B, Faloutsos C, Karypis G
Preprint Hierarchical Compression of Text-Rich Graphs via Large Language Models 2024 Zhang S, Zheng D, Zhang J, Zhu Q, song X, Adeshina S, Faloutsos C, Karypis G, Sun Y
Preprint HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases 2024 Lee M-C, Zhu Q, Mavromatis C, Han Z, Adeshina S, Ioannidis VN, Rangwala H, Faloutsos C
Journal Article Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding-A Survey 2024 • Transactions on Machine Learning Research • 2024: Fang X, Xu W, Tan FA, Zhang J, Hu Z, Qi Y, Nickleach S, Socolinsky D, Sengamedu S, Faloutsos C
Conference Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets 2024 • Proceedings - International Conference on Data Engineering • 00:1407-1420 Vinces BVS, Cordeiro RLF, Faloutsos C
