Abstract: Graph data modeling is nontrivial due to the challenges to ensure model interpretability and handle data uncertainty. While methods derived from deep learning models, such as graph neural ...
Abstract: Social graphs are essential for various data analysis, yet their direct publication introduces significant privacy risks due to the sensitive nature of their information. To mitigate these ...
GraphAny is a fully-inductive model for node classification. A single trained GraphAny model performs node classification tasks on any graph with any feature and label spaces. Performance-wise, ...
An Approach to Productive and Maintainable Shader Creation. Creating shaders has always been an advanced step for most developers; many game developers have never created GLSL code from scratch. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback