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 ...
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 ...
You can now apply for the school transport assistance scheme (on all government contracted bus, rail or ferry services) for students travelling from 2 eligible addresses due to a shared care ...
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