Christos Faloutsos

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 248

Top Venues

Publications

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD (2024)
Braulio Valentin Sanchez Vinces, Robson L. F. Cordeiro, Christos Faloutsos
Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets. ICDE (2024)
Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny
Correction to: TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 33 (1) (2024)
Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan H. Sengamedu, Christos Faloutsos
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. CoRR (2024)
Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos
Graph Machine Learning Meets Multi-Table Relational Data. KDD (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR (2024)
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR (2024)
Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI (2024)
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR (2024)
Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. CoRR (2024)
Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. CoRR (2024)
Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos
NETEFFECT: Discovery and Exploitation of Generalized Network Effects. PAKDD (1) (2024)
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR (2024)
Braulio Valentin Sanchez Vinces, Robson L. F. Cordeiro, Christos Faloutsos
McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets. CoRR (2024)
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
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Lalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos
DiffFind: Discovering Differential Equations from Time Series. PAKDD (6) (2024)
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR (2024)
Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? ICDE (2024)
Jielin Qiu, William Han, Winfred Wang, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Christos Faloutsos, Lei Li, Lijuan Wang
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition. CoRR (2024)
Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features. WWW (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR (2024)
Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR (2024)
Rohan Kumar, Youngmin Kim, Sunitha Ravi, Haitian Sun, Christos Faloutsos, Ruslan Salakhutdinov, Minji Yoon
Automatic Question-Answer Generation for Long-Tail Knowledge. CoRR (2024)
Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. Trans. Mach. Learn. Res. 2024 (2024)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR (2024)
Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, Lei Li, Babak Damavandi, Seungwhan Moon
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. CoRR (2024)
Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. SDM (2024)
Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
FeatNavigator: Automatic Feature Augmentation on Tabular Data. CoRR (2024)
Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li
Evaluating Durability: Benchmark Insights into Multimodal Watermarking. CoRR (2024)
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR (2024)
Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, Christos Faloutsos
DeltaShield: Information Theory for Human- Trafficking Detection. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) (2023)
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) (2023)
Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho
ExplainFix: Explainable spatially fixed deep networks. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR (2023)
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR (2023)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR (2023)
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR (2023)
Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. CIKM (2023)
Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos
UltraProp: Principled and Explainable Propagation on Large Graphs. CoRR (2023)
Alex Gaudio, Asim Smailagic, Christos Faloutsos, Shreshta Mohan, Elvin Johnson, Yuhao Liu, Pedro Costa, Aurélio Campilho
: Explainable privacy-preserving image compression for medical image analysis. WIREs Data. Mining. Knowl. Discov. 13 (4) (2023)
Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica
: fast unique dense region detection and its application to lung cancer. Bioinform. 39 (8) (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR (2023)
Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. KDD (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW (2023)
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
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI (2023)
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR (2023)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS (2023)
Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. CBMS (2023)
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) (2023)
Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics 139 (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR (2023)
Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio J. C. Campilho
ExplainFix: Explainable Spatially Fixed Deep Networks. CoRR (2023)
Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
John Paparrizos, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. Proc. VLDB Endow. 16 (8) (2023)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR (2022)
Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. CoRR (2022)
Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success. CoRR (2022)
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
Coarse-to-Fine Sparse Sequential Recommendation. CoRR (2022)
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Big Data (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. KDD (2022)
Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) (2022)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR (2022)
Hiroyoshi Ito, Christos Faloutsos
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. SDM (2022)
Bo He, Xiang Song, Vincent Gao, Christos Faloutsos
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases. CoRR (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW (2022)
Pedro Fidalgo, Rui J. Lopes, Christos Faloutsos
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. Big Data (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR (2022)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64 (6) (2022)
Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. WSDM (2022)
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR (2022)
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
Coarse-to-Fine Sparse Sequential Recommendation. SIGIR (2022)
Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs. World Wide Web 25 (6) (2022)
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW (2022)
Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. CoRR (2022)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG (2022)
Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. BHI (2022)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR (2022)
Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. L4DC (2021)
Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR (2021)
Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK (2021)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115 (2021)
Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys (2021)
Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis
Out: Detecting and Ranking Generalized Anomalies. IEEE BigData (2021)
Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany, Christos Faloutsos
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. ICDE (2021)
Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis
gen2Out: Detecting and Ranking Generalized Anomalies. CoRR (2021)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR (2020)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI (2020)
Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD (2020)
Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali
TRIAGE: Temporal Twitter attribute graph patterns. WIMS (2020)
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
Provably Robust Node Classification via Low-Pass Message Passing. ICDM (2020)
Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. CoRR (2020)
Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW (2020)
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD (2020)
Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny
TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 29 (5) (2020)
Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang
Forecasting Big Time Series: Theory and Practice. WWW (Companion Volume) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christos Faloutsos