Adaptive Aggregation-Transformation Decoupled Graph Convolutional Network for Semi-Supervised Learning

Graph Convolutional Network (GCN) has achieved significant success in many graph representation learning tasks. GCN usually learns graph representations by performing Neighbor Aggregation (NA) and Feature Transformation (FT) operations. Deep Adaptive Graph Neural Network (DAGNN) improves NA operatio...

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Үндсэн зохиолчид:	Dezhi Sun, Man Hu, Zhenyu Li
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2022-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Deep learning graph convolutional networks graph representation learning node classification
Онлайн хандалт:	https://ieeexplore.ieee.org/document/9756034/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!