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cs.LG2023
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching
Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal +3
Cross-device user matching is a critical problem in numerous domains, including advertising, recommender systems, and cybersecurity. It involves identifying and linking different d…
cs.LG2020★ 41 cited
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma, Sen Na, Hongyu Wang
We propose a novel neural network architecture, called autoencoder-constrained graph convolutional network, to solve node classification task on graph domains. As suggested by its…