41 citations · 42 across the 5 of their papers we have counts for
5 papers
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…
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
Tunhou Zhang, Mingyuan Ma, Feng Yan +2
The interaction and dimension of points are two important axes in designing point operators to serve hierarchical 3D models. Yet, these two axes are heterogeneous and challenging t…
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…
The Graph-Based Behavior-Aware Recommendation for Interactive News
Mingyuan Ma, Sen Na, Hongyu Wang +2
Interactive news recommendation has been launched and attracted much attention recently. In this scenario, user's behavior evolves from single click behavior to multiple behaviors…
Scalable Peaceman-Rachford Splitting Method with Proximal Terms
Sen Na, Mingyuan Ma, Mladen Kolar
Along with developing of Peaceman-Rachford Splittling Method (PRSM), many batch algorithms based on it have been studied very deeply. But almost no algorithm focused on the perform…