A production-ready implementation of Graph Neural Networks for node classification tasks, featuring multiple architectures (GCN, GAT, GraphSAGE, GIN) with comprehensive evaluation and interactive ...
Heterogeneous Graph Transformer is a graph neural network architecture that can deal with large-scale heterogeneous and dynamic graphs. You can see our WWW 2020 paper “Heterogeneous Graph Transformer” ...
OpenAI launched GPT-5.6 for general availability on July 9, following an earlier public launch announcement on X and a limited preview period for selected partners. The release introduces three named ...
3.2 Graph-enhanced efficient attention feature network The objective of the GEAFNet is to enhance nutrient deficiency classification using efficient convolutional feature extraction in combination ...
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