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05/29/2023
Counterpart Fairness – Addressing Systematic between-group Differences in Fairness Evaluation
When using machine learning (ML) to aid decision-making, it is critical ...
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10/14/2022
Characterizing the Influence of Graph Elements
Influence function, a method from robust statistics, measures the change...
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08/09/2022
Motif-based Graph Representation Learning with Application to Chemical Molecules
This work considers the task of representation learning on the attribute...
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04/15/2022
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
Knowledge graph (KG) representation learning aims to encode entities and...
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10/12/2021
Predicting the Stereoselectivity of Chemical Transformations by Machine Learning
Stereoselective reactions (both chemical and enzymatic reactions) have b...
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08/13/2020
Variance Regularization for Accelerating Stochastic Optimization
While nowadays most gradient-based optimization methods focus on explori...
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08/09/2020
A Deep Learning Approach for COVID-19 Trend Prediction
In this work, we developed a deep learning model-based approach to forec...
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05/22/2020
A Group-Theoretic Framework for Knowledge Graph Embedding
We demonstrated the existence of a group algebraic structure hidden in r...
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10/05/2018
