“…Recently, complex graph and network representation techniques have used semantic relationships between graphs or network nodes to learn vector representations of corresponding nodes. Various paper recommendation models [37,38] use this embedding method to propose recommendations. For this reason, Gupta and Varma [39] used Doc2vec [40] and DeepWalk [41], respectively, to learn the embedding of paper content and network structure.…”