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 • 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
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
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 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
Preprint McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets 2024 Vinces BVS, Cordeiro RLF, Faloutsos C
Chapter NETEFFECT: Discovery and Exploitation of Generalized Network Effects 2024 • Lecture Notes in Computer Science • 14645:299-312 Lee M-C, Shekhar S, Yoo J, Faloutsos C
Conference NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features 2024 2542-2551 Miyake K, Ito H, Faloutsos C, Matsumoto H, Morishima A
Preprint NetInfoF Framework: Measuring and Exploiting Network Usable Information 2024 Lee M-C, Yu H, Zhang J, Ioannidis VN, Song X, Adeshina S, Zheng D, Faloutsos C
Conference NETINFOF FRAMEWORK: MEASURING AND EXPLOITING NETWORK USABLE INFORMATION 2024 • 12th International Conference on Learning Representations, ICLR 2024 Lee MC, Yu H, Zhang J, Ioannidis VN, Song X, Adeshina S, Zheng D, Faloutsos C
Preprint OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories 2024 Koutras C, Zhang J, Qin X, Lei C, Ioannidis V, Faloutsos C, Karypis G, Katsifodimos A
Preprint OpenTab: Advancing Large Language Models as Open-domain Table Reasoners 2024 Kong K, Zhang J, Shen Z, Srinivasan B, Lei C, Faloutsos C, Rangwala H, Karypis G
Conference OPENTAB: ADVANCING LARGE LANGUAGE MODELS AS OPEN-DOMAIN TABLE REASONERS 2024 • 12th International Conference on Learning Representations, ICLR 2024 Kong K, Zhang J, Shen Z, Srinivasan B, Lei C, Faloutsos C, Rangwala H, Karypis G
Conference Revisit Orthogonality in Graph-Regularized MLPs 2024 • International Conference on Information and Knowledge Management, Proceedings • 3145-3154 Zhang H, Wang S, Ioannidis VN, Adeshina S, Zhang J, Qin X, Faloutsos C, Zheng D, Karypis G, Yu PS
