27 citations · 103 across the 13 of their papers we have counts for
4 papers · 1 filter
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
Lingxiao Zhao, Leman Akoglu
It is common practice of the outlier mining community to repurpose classification datasets toward evaluating various detection models. To that end, often a binary classification da…
Connecting Graph Convolutional Networks and Graph-Regularized PCA
Lingxiao Zhao, Leman Akoglu
Graph convolution operator of the GCN model is originally motivated from a localized first-order approximation of spectral graph convolutions. This work stands on a different view;…
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan, Lingxiao Zhao +3
We investigate the representation power of graph neural networks in the semi-supervised node classification task under heterophily or low homophily, i.e., in networks where connect…
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
We propose an interpretable graph neural network framework to denoise single or multiple noisy graph signals. The proposed graph unrolling networks expand algorithm unrolling to th…