IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
LAist

LA nonprofit repairs depleted park lands, one ‘test plot' at a time

At the base of a narrow, windy road off Avenue 45 in Mount Washington is a hidden pocket of nature called Rainbow Canyon. It's home to a hearty grove of California black walnut trees, a stream that ...
IEEE

sigRGCN: A Robust Residual Graph Convolutional Network for scRNA-Seq Data Clustering

Abstract: Clustering is a crucial step in single-cell RNA sequencing (scRNA-seq) data analysis, facilitating the discovery of new cell types and the grouping of similar cells. Recently, graph ...