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Found 5 papers, 2 papers with code
The Average Mixing Kernel Signature
We introduce the Average Mixing Kernel Signature (AMKS), a novel signature for points on non-rigid three-dimensional shapes based on the average mixing kernel and continuous-time quantum walks.
Graph Generation via Spectral Diffusion
In this paper, we present GRASP, a novel graph generative model based on 1) the spectral decomposition of the graph Laplacian matrix and 2) a diffusion process.
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
Graph neural networks are increasingly becoming the framework of choice for graph-based machine learning.
Graph Kernel Neural Networks
The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an input matrix and a filter.
LDA2Net: Digging under the surface of COVID-19 topics in scientific literature
During the COVID-19 pandemic, the scientific literature related to SARS-COV-2 has been growing dramatically, both in terms of the number of publications and of its impact on people's life.
