Abstract: Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient ...

As Labour shifts gears in a bid to stem the rise of Reform UK, three graphs suggest Nigel Farage's party is here to stay. The ...

A popular climate science graph showing Earth's 485-million-year temperature history is often misinterpreted by skeptics, ...

When printing or sharing the chart in other applications this can create a lot of unneeded space and waste printer paper. If you want ... area is the part of the graph that shows the data; you ...

This paper discusses two existing methods for generating ... tasks such as question answering and language translation. Second, Graph Generative Models focus on creating realistic graphs to model ...

If you have a paper related to graph condensation that you believe should be included ... TKDD'25 Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey Hongjia Xu et al. Arxiv'23 GroC ...

The study of the singularity of graphs is of great significance for better characterizing ... a4), this type four cycles peacock graph called δ graph. In this paper, we give the necessary and ...

Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs ... To this end, in this paper, we argue that the ...

Ask them what each chart or graph is showing and how easy it is to understand the data presented. Discuss why some options are better for displaying certain types of data. For example, a bar chart ...