Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.

When compiling the sample code for examples/16_ampere_tensorop_conv2dfprop/ampere_tensorop_conv2dfprop.cu, it fails with the following error message. Any other ...

We report a fast and easy method (PACMAN) to assign partial atomic charges on metal–organic framework (MOF) and covalent–organic framework (COF) crystal structures based on graph convolution networks ...

Create a folder named 'ckpt' in './viz_nodes' and download the checkpoints of GraphConvNet-Ti or GraphConvNet-S and put them in './viz_nodes/ckpt' Open viz_demo.ipnb ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...