Learn how to choose the right scale for a graph based on the type of data, the purpose of the graph, and the audience you want to reach. See examples and tips.

Knowledge graphs can help NLP systems scale up in several ways. First, they can improve the data quality and efficiency of NLP systems by reducing noise, ambiguity, and redundancy in the text.

Graphs that are not drawn to scale mislead the reader. This post shows another example of a graph where the visual representation of the numbers is not proportional to the numbers themselves.

Spatial-Aware Graph Relation Network for Large-Scale Object Detection ... our SGRN integrates a graph learner module for learning a interpatable sparse graph structure to encode relevant contextual ...

Remarkable progress has been achieved for salient object detection based on deep learning. However, most of the previous works have the issues of how to extract more effective information from ...