Xie He

I am interested in connecting Network Science with ML and everything else. Whether it is brain data in biology, or social media data, or even if it is something entirely new, I want to study the topolgoical structure of how network could combine data points and link the world together.  Specifically, I am interested in predicting the future through link prediction on temporal networks. Recently, my internships have also expanded my interest to how graph topology would be useful in NLP. 

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Xie He

Phd Candidate in Applied Mathematics, 

advised by Peter Mucha

Dartmouth College, expected graduation 06/2024

B.S. in Mathematics of Computation, UCLA, 2019


News and Updates

Selected Works

Sequentailly Stacked Model for Link Prediction on Temporal Networks

Sampling Difference for Different Networks

Noisy subgraph Matching

Exact Subgraph Matching

Finding Anomaly in British Transportation Networks