60 citations · 63 across the 2 of their papers we have counts for
4 papers
Residual Correlation in Graph Neural Network Regression
Junteng Jia, Austin R. Benson
A graph neural network transforms features in each vertex's neighborhood into a vector representation of the vertex. Afterward, each vertex's representation is used independently f…
Graph-based Semi-Supervised & Active Learning for Edge Flows
Junteng Jia, Michael T. Schaub, Santiago Segarra +1
We present a graph-based semi-supervised learning (SSL) method for learning edge flows defined on a graph. Specifically, given flow measurements on a subset of edges, we want to pr…
Neural Jump Stochastic Differential Equations
Junteng Jia, Austin R. Benson
Many time series are effectively generated by a combination of deterministic continuous flows along with discrete jumps sparked by stochastic events. However, we usually do not hav…
Normal Auger processes with ultrashort x-ray pulses in Neon
Raymond Sullivan, Junteng Jia, Alvaro Vazquez-Mayagoitia +1
Modern x-ray sources enable the production of coherent x-ray pulses with a pulse duration in the same order as the characteristic lifetimes of core-hole states of atoms and molecul…