If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes in graphs, has received significant attention. In recent years, there has been a surge of efforts, among ...

Based on InfraNodus AI text analysis and visualization tool, this plugin visualizes the content of Obsidian vaults as a knowledge graph, retrieves the main topical clusters, most important ideas, and ...