R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity. However, the ...

Secret calculator hack brings ChatGPT to the TI-84, enabling easy cheating Tiny device installed inside TI-84 enables Wi-Fi Internet, access to AI chatbot.

Discover how to use R for data visualization projects. Learn about R's powerful packages, tools, and techniques to create compelling visualizations and effectively communicate data insights.

Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of ...

To address these challenges, this paper proposes a fault location method for distribution networks based on Multi-head Graph Attention Networks (GATs). The proposed method begins by modeling the ...

Note that all graphs you can make in lattice can also be made with ggplot2, but usually you would need more skill and time and work. We cannot say the otherwise, however: Not all graphs constructed ...

[WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang - blacksingular/wsdm_GDN ...

Contribute to KhaledSobeh/document_graphs_in_ggplot2 development by creating an account on GitHub.

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects.