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Yufei Tang

2 accepted papers

2021

GAEN: Graph Attention Evolving Networks

IJCAI 2021poster

Real-world networked systems often show dynamic properties with continuously evolving network nodes and topology over time. When learning from dynamic networks, it is beneficial to correlate all temporal networks to fully capture the similarity/relevance between nodes. Recent work for dynamic networ…

2020

Multi-Class Imbalanced Graph Convolutional Network Learning

IJCAI 2020poster

Networked data often demonstrate the Pareto principle (i.e., 80/20 rule) with skewed class distributions, where most vertices belong to a few majority classes and minority classes only contain a handful of instances. When presented with imbalanced class distributions, existing graph embedding learni…

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