Faloutsos, Christos

51 publications

ICLR 2026 Understanding Transformers for Time Series: Rank Structure, Flow-of-Ranks, and Compressibility Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

ICLR 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

ICML 2025 CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover, Geoffrey J. Gordon, Christos Faloutsos

ICML 2025 Enhancing Foundation Models for Time Series Forecasting via Wavelet-Based Tokenization Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

ICLR 2025 Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

DMLR 2024 Evaluating Durability: Benchmark Insights into Image and Text Watermarking Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li

TMLR 2024 Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos

ICLR 2024 Mixed-Type Tabular Data Synthesis with Score-Based Diffusion in Latent Space Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

ICLR 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos

ICLR 2024 OpenTab: Advancing Large Language Models as Open-Domain Table Reasoners Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

AAAI 2024 T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany

NeurIPS 2023 GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos

ICLR 2023 MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park, Ryan A. Rossi, Nesreen Ahmed, Christos Faloutsos

AAAI 2023 TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

ECML-PKDD 2023 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

LoG 2022 ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis

L4DC 2021 Bridging Physics-Based and Data-Driven Modeling for Learning Dynamical Systems Rui Wang, Danielle Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu

AAAI 2020 Midas: Microcluster-Based Detector of Anomalies in Edge Streams Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

AAAI 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos

ECML-PKDD 2018 Beyond Outlier Detection: LookOut for Pictorial Explanation Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos

ECML-PKDD 2018 GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos

ECML-PKDD 2018 ONE-M: Modeling the Co-Evolution of Opinions and Network Connections Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla

ECML-PKDD 2018 Social-Affiliation Networks: Patterns and the SOAR Model Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos

IJCAI 2018 TensorCast: Forecasting Time-Evolving Networks with Contextual Information Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos

ECML-PKDD 2018 Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos

ECML-PKDD 2017 BeatLex: Summarizing and Forecasting Time Series with Patterns Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos

ECML-PKDD 2017 PowerCast: Mining and Forecasting Power Grid Sequences Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos

ECML-PKDD 2017 zooRank: Ranking Suspicious Entities in Time-Evolving Tensors Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer

ECML-PKDD 2016 M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees Kijung Shin, Bryan Hooi, Christos Faloutsos

AAAI 2015 OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation Yuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa

ECML-PKDD 2014 Beyond Blocks: Hyperbolic Community Detection Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos

ECML-PKDD 2014 Interestingness-Driven Diffusion Process Summarization in Dynamic Networks Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos

ECML-PKDD 2014 Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos

ECML-PKDD 2012 ParCube: Sparse Parallelizable Tensor Decompositions Evangelos E. Papalexakis, Christos Faloutsos, Nicholas D. Sidiropoulos

ECML-PKDD 2011 Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos

ECML-PKDD 2010 Analysis of Large Multi-Modal Social Networks: Patterns and a Generator Nan Du, Hao Wang, Christos Faloutsos

JMLR 2010 Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, Zoubin Ghahramani

ECML-PKDD 2010 Mining Billion-Node Graphs: Patterns, Generators and Tools Christos Faloutsos

ECML-PKDD 2010 Surprising Patterns for the Call Duration Distribution of Mobile Phone Users Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro

ECML-PKDD 2010 Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos

ECML-PKDD 2009 RTG: A Recursive Realistic Graph Generator Using Random Typing Leman Akoglu, Christos Faloutsos

ECML-PKDD 2008 Hierarchical, Parameter-Free Community Discovery Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu

ECML-PKDD 2008 Two Heads Better than One: Pattern Discovery in Time-Evolving Multi-Aspect Data Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad

CVPR 2008 Unsupervised Modeling of Object Categories Using Link Analysis Techniques Gunhee Kim, Christos Faloutsos, Martial Hebert

ICML 2007 Scalable Modeling of Real Graphs Using Kronecker Multiplication Jure Leskovec, Christos Faloutsos

CVPR 2004 GCap: Graph-Based Automatic Image Captioning Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu

CVPRW 2004 GCap: Graph-Based Automatic Image Captioning Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu

ECML-PKDD 2003 Next Generation Data Mining Tools: Power Laws and Self-Similarity for Graphs, Streams and Traditional Data Christos Faloutsos

CVPR 1998 Image Indexing and Retrieval Based on Human Perceptual Color Clustering Yihong Gong, Guido Proietti, Christos Faloutsos