id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-1497	Luo, Zhengtian	Graph Convolution Network Recommender Rystem with Feature Embedding	2022	4	.pdf	application/pdf	2821	178	54	NGCF[10] uses methods in GCN to extract information from the bipartite graph of user items, trains the model with this information to generate vectors of user items, and then uses these embeddings to make predictions. In this work, we combine the use of feature information with graph convolutional network to design a new recommendation algorithm, Graph Convolution Network recommender system with Feature Embedding, GCNFE.	cache/fcis-1497.pdf	txt/fcis-1497.txt