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Computer Science

D-Index
41
Citations
10990
World Ranking
8643
National Ranking
3706

Overview

Tina Eliassi-Rad is affiliated with Northeastern University in the United States. Their research primarily focuses on computer science, with an emphasis on artificial intelligence, statistical and nonlinear physics, computer networks and communications, computational theory and mathematics, and molecular biology.

Their work addresses several key topics, including complex network analysis techniques, advanced graph neural networks, network security and intrusion detection, opinion dynamics and social influence, advanced malware detection techniques, computational drug discovery methods, and bioinformatics and genomic networks.

Recent publications by Tina Eliassi-Rad include:

  • Measuring algorithmically infused societies, 2021, Nature
  • Improving the generalizability of protein-ligand binding predictions with AI-Bind, 2023, Nature Communications
  • Neuroscience Needs Network Science, 2023, Journal of Neuroscience
  • Using sequences of life-events to predict human lives, 2023, Nature Computational Science
  • The Why, How, and When of Representations for Complex Systems, 2021, SIAM Review

Frequent co-authors collaborating with Tina Eliassi-Rad include Zohair Shafi, Benjamin A. Miller, Scott Alfeld, Kevin Chan, and Yevgeniy Vorobeychik.

The scientist publishes regularly in several venues, such as arXiv (Cornell University), Applied Network Science, SSRN Electronic Journal, bioRxiv (Cold Spring Harbor Laboratory), and Nature.

Best Publications

  • Collective Classification in Network Data

    Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

  • RolX: structural role extraction & mining in large graphs

    Keith Henderson;Brian Gallagher;Tina Eliassi-Rad;Hanghang Tong

  • APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

    Véronique Van Vlasselaer;Cristián Bravo;Olivier Caelen;Tina Eliassi-Rad

  • Fast best-effort pattern matching in large attributed graphs

    Hanghang Tong;Christos Faloutsos;Brian Gallagher;Tina Eliassi-Rad

  • It's who you know: graph mining using recursive structural features

    Keith Henderson;Brian Gallagher;Lei Li;Leman Akoglu

  • Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction

    Z. Shen;K.-L. Ma;T. Eliassi-Rad

  • Gelling, and melting, large graphs by edge manipulation

    Hanghang Tong;B. Aditya Prakash;Tina Eliassi-Rad;Michalis Faloutsos

  • The why, how, and when of representations for complex systems

    Leo Torres;Ann Sizemore Blevins;Danielle S. Bassett;Tina Eliassi-Rad

  • Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

    Tina Eliassi-Rad;Lyle Ungar;Mark Craven;Dimitrios Gunopulos

  • A Probabilistic Model for Using Social Networks in Personalized Item Recommendation

    Allison J.B. Chaney;David M. Blei;Tina Eliassi-Rad

  • Using ghost edges for classification in sparsely labeled networks

    Brian Gallagher;Hanghang Tong;Tina Eliassi-Rad;Christos Faloutsos

  • GOTCHA! Network-Based Fraud Detection for Social Security Fraud

    Véronique Van Vlasselaer;Tina Eliassi-Rad;Leman Akoglu;Monique Snoeck

  • On the Vulnerability of Large Graphs

    Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

  • CoreScope: Graph Mining Using k-Core Analysis — Patterns, Anomalies and Algorithms

    Kijung Shin;Tina Eliassi-Rad;Christos Faloutsos

  • Measuring algorithmically infused societies.

    Claudia Wagner;Claudia Wagner;Markus Strohmaier;Markus Strohmaier;Alexandra Olteanu;Emre Kıcıman

  • NetSimile: A Scalable Approach to Size-Independent Network Similarity

    Michele Berlingerio;Danai Koutra;Tina Eliassi-Rad;Christos Faloutsos

  • Node Immunization on Large Graphs: Theory and Algorithms

    Chen Chen;Hanghang Tong;B. Aditya Prakash;Charalampos E. Tsourakakis

  • Applying latent dirichlet allocation to group discovery in large graphs

    Keith Henderson;Tina Eliassi-Rad

  • Network similarity via multiple social theories

    Michele Berlingerio;Danai Koutra;Tina Eliassi-Rad;Christos Faloutsos

  • Measuring tie strength in implicit social networks

    Mangesh Gupte;Tina Eliassi-Rad

  • Collective Classi!cation in Network Data

    Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Leman Akoglu
Leman Akoglu Carnegie Mellon University
Ali Pinar
Ali Pinar Sandia National Laboratories
Bart Baesens
Bart Baesens KU Leuven
Jude W. Shavlik
Jude W. Shavlik University of Wisconsin–Madison
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside
B. Aditya Prakash
B. Aditya Prakash Georgia Institute of Technology
Yevgeniy Vorobeychik
Yevgeniy Vorobeychik Washington University in St. Louis
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology

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