World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6047
World Ranking
13898
National Ranking
5523

Overview

Evangelos E. Papalexakis is affiliated with the University of California, Riverside in the United States. Their research portfolio comprises more than 100 publications primarily in the field of Computer Science, with a focus on several specialized subfields.

Their main subfields of study include:

  • Artificial Intelligence
  • Computational Mathematics
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

Papalexakis's work addresses a diverse set of topics such as:

  • Tensor decomposition and applications
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Adversarial Robustness in Machine Learning
  • Misinformation and Its Impacts
  • Anomaly Detection Techniques and Applications
  • Computational Physics and Python Applications

The scientist has published frequently in several venues, including:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Data Mining and Knowledge Discovery
  • 2021 IEEE International Conference on Big Data (Big Data)
  • Lecture notes in computer science

Recent papers authored under their supervision or collaboration include:

  • "Identifying Misinformation from Website Screenshots," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "REST: A Thread Embedding Approach for Identifying and Classifying User-Specified Information in Security Forums," 2020, Proceedings of the International AAAI Conference on Web and Social Media
  • "RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns from Multi-modal Data," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Fast and memory-efficient algorithms for high-order Tucker decomposition," 2020, Knowledge and Information Systems
  • "Task-agnostic representation learning of multimodal twitter data for downstream applications," 2022, Journal Of Big Data

Frequent co-authors who have collaborated on multiple occasions with Papalexakis include:

  • William Shiao
  • Sara Abdali
  • Michalis Faloutsos
  • Dawon Ahn
  • Negin Entezari

Best Publications

  • Tensor Decomposition for Signal Processing and Machine Learning

    Nicholas D. Sidiropoulos;Lieven De Lathauwer;Xiao Fu;Kejun Huang

  • Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms

    Evangelos E. Papalexakis;Christos Faloutsos;Nicholas D. Sidiropoulos

  • GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries

    U. Kang;Evangelos Papalexakis;Abhay Harpale;Christos Faloutsos

  • All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs

    Negin Entezari;Saba A. Al-Sayouri;Amirali Darvishzadeh;Evangelos E. Papalexakis

  • ParCube: sparse parallelizable tensor decompositions

    Evangelos E. Papalexakis;Christos Faloutsos;Nicholas D. Sidiropoulos

  • From K-Means to Higher-Way Co-Clustering: Multilinear Decomposition With Sparse Latent Factors

    E. E. Papalexakis;N. D. Sidiropoulos;R. Bro

  • HaTen2: Billion-scale tensor decompositions

    Inah Jeon;Evangelos E. Papalexakis;U Kang;Christos Faloutsos

  • NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.

    Petko Bogdanov;Christos Faloutsos;Misael Mongiovì;Evangelos E. Papalexakis

  • FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop

    Alex Beutel;Partha Pratim Talukdar;Abhimanu Kumar;Christos Faloutsos

  • Structure-revealing data fusion.

    Evrim Acar;Evangelos E Papalexakis;Gözde Gürdeniz;Morten A Rasmussen

  • Com2: Fast Automatic Discovery of Temporal ( Comet ) Communities

    Miguel Araujo;Miguel Araujo;Spiros Papadimitriou;Stephan Günnemann;Christos Faloutsos

  • Do more views of a graph help? Community detection and clustering in multi-graphs

    Evangelos E. Papalexakis;Leman Akoglu;Dino Ience

  • Semi-supervised content-based detection of misinformation via tensor embeddings

    Gisel Bastidas Guacho;Sara Abdali;Neil Shah;Evangelos E. Papalexakis

  • Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval

    Niluthpol Chowdhury Mithun;Rameswar Panda;Evangelos E. Papalexakis;Amit K. Roy-Chowdhury

  • Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition

    Nicholas D. Sidiropoulos;Evangelos E. Papalexakis;Christos Faloutsos

  • Network Anomaly Detection Using Co-clustering

    E. E. Papalexakis;A. Beutel;P. Steenkiste

  • SPARTan: Scalable PARAFAC2 for Large & Sparse Data

    Ioakeim Perros;Evangelos E. Papalexakis;Fei Wang;Richard Vuduc

  • TensorSplat: Spotting Latent Anomalies in Time

    Danai Koutra;Evangelos E. Papalexakis;Christos Faloutsos

  • HEigen: Spectral Analysis for Billion-Scale Graphs

    U. Kang;Brendan Meeder;Evangelos E. Papalexakis;Christos Faloutsos

  • Automatic Unsupervised Tensor Mining with Quality Assessment.

    Evangelos E. Papalexakis

  • Turbo-smt: Accelerating coupled sparse matrix-tensor factorizations by 200x

    Evangelos E. Papalexakis;Christos Faloutsos;Tom M. Mitchell;Partha Pratim Talukdar

  • MalSpot: Multi2 Malicious Network Behavior Patterns Analysis

    Hing-Hao Mao;Chung-Jung Wu;Evangelos E. Papalexakis;Christos Faloutsos

  • SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

    Ioakeim Perros;Evangelos E. Papalexakis;Haesun Park;Richard Vuduc

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Partha Pratim Talukdar
Partha Pratim Talukdar Indian Institute of Science
Danai Koutra
Danai Koutra University of Michigan–Ann Arbor
Tom M. Mitchell
Tom M. Mitchell Carnegie Mellon University
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Richard Vuduc
Richard Vuduc Georgia Institute of Technology
U Kang
U Kang Seoul National University

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