65 citations · 152 across the 20 of their papers we have counts for
4 papers · 1 filter
Graph Neural Network Based Node Deployment for Throughput Enhancement
Yifei Yang, Dongmian Zou, Xiaofan He
The recent rapid growth in mobile data traffic entails a pressing demand for improving the throughput of the underlying wireless communication networks. Network node deployment has…
An Unpooling Layer for Graph Generation
Yinglong Guo, Dongmian Zou, Gilad Lerman
We propose a novel and trainable graph unpooling layer for effective graph generation. Given a graph with features, the unpooling layer enlarges this graph and learns its desired n…
Robust Vector Quantized-Variational Autoencoder
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Image generative models can learn the distributions of the training data and consequently generate examples by sampling from these distributions. However, when the training dataset…
Autoencoding Hyperbolic Representation for Adversarial Generation
Eric Qu, Dongmian Zou
With the recent advance of geometric deep learning, neural networks have been extensively used for data in non-Euclidean domains. In particular, hyperbolic neural networks have pro…