Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials
Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...
Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...
Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.
Uses data from multiple countries and polynomial regression algrothims to predict carbon emmisions in 2050. Also creates a 3D graph to vizualize the last 20 years of Canada's GDP, and Canda's Carbon ...
If you're unsure of how to begin using ChatGPT to generate images for free, this how-to will explain everything you need to ...
Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...
Unlock smarter, faster, and more consistent results from ChatGPT, Claude, Gemini, and DALL-E with the PromptBuilder AI prompt ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
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