Then, we propose the localized directed graph Fourier transform (LDGFT), where the band-pass transfer filters can capture the localized spectral domain. The transfer functions satisfying the ...

1 Introduction. Graph neural networks have developed rapidly in node representation learning and graph data mining in recent years. The reason why we focus on the study of graph neural networks is ...

Simple graphs are undirected, while more powerful graphs include causal relationships to allow causal inference. Figure 1. A simple example of a knowledge graph.

In this representation, no hypervector element is more responsible for storing any piece of information than another. Here, we explain how GrapHD encodes both weighted and unweighted graphs. 3.1.

Multi-Relational Graph. In addition to the distinction between undirected, directed, and weighted edges we will look at graphs with different types of edges. For example in the graph depicting ...