Tina Eliassi

Building More Resilient Teams: A Mathematical Approach Using Hypergraphs When organizations need to assign people to projects, they face a fundamental challenge: how can they form teams that continue to function if someone becomes sick, leaves the company, or is otherwise ...

Our new paper on searching the space of hypergraphs to solve constrained combinatorial optimization problem is out. This was joint work with Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni, Tara Javidi, and Yamir Moreno.

communities.springernature.com/posts/buildi...

This paper started as a class project in my ML with graphs course. Kudos to Moritz Laber, Samantha Dies, and Joseph Ehlert for sticking with the project. 👏🏽👏🏽

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Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Min...

If you are #KDD2025 this week, stop by David Liu's talk on "Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings". This is joint work with Johan Ugander and Arjun Seshadri.
doi.org/10.1145/3711...

Khoury PhD students, postdocs make the jump to professor in 2025 - Khoury College of Computer Sciences After building and burnishing their research chops at Khoury College, nine PhD graduates and former postdoctoral fellows are beginning their careers as professors this year.

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Forecasting Faculty Placement from Patterns in Co-authorship Networks Faculty hiring shapes the flow of ideas, resources, and opportunities in academia, influencing not only individual career trajectories but also broader patterns of institutional prestige and scientifi...

New paper on “Forecasting Faculty Placement from Patterns in Co-authorship Networks” by my excellent students Samantha Dies and David Liu. If you are at #IC2S2, stop by Sam’s poster to hear more.

arxiv.org/abs/2507.14696

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Effects of higher-order interactions and homophily on information access inequality The spread of information through socio-technical systems determines which individuals are the first to gain access to opportunities and insights. Yet, the pathways through which information flows can...

Just in time for #NetSci2025 a new paper on the effects of higher-order interactions and homophily on information access inequality by amazing NUNetSI students

arxiv.org/abs/2506.00156

Topology-driven negative sampling enhances generalizability in protein–protein interaction prediction

New paper in Bioinformatics on negative sampling. Thanks to Ayan Chatterjee and Babak Ravandi for leading this project.

academic.oup.com/bioinformati...

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Graph Machine Learning Intern Join Our Summer Internship Program and Make a Real Impact! Are you ready to do meaningful work in a cutting-edge, research-driven organization? At Alexion (an AstraZeneca company for Rare Diseases), o...

Graph Machine Learning Summer Internship at Alexion / AstraZeneca in Boston

astrazeneca.wd3.myworkdayjobs.com/Alexion/job/...

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A Survey on Hypergraph Mining: Patterns, Tools, and Generators | ACM Computing Surveys Hypergraphs, which belong to the family of higher-order networks, are a natural and powerful choice for modeling group interactions in the real world. For example, when modeling collaboration networks...

Our survey on hypergraph mining is out at ACM Computing Surveys. It was a pleasure to work with Kijung Shin and his students Geon Lee and Fanchen Bu. dl.acm.org/doi/10.1145/...

Distinguished postdoctoral fellowship opportunity at Northeastern’s Khoury College of Computer Sciences (due date: Feb. 20): www.khoury.northeastern.edu/research/pos...

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