Research Progress of Graph Neural Network in Knowledge Graph Construction and Application.
XU Xinran, W Tengyu, LU Cai - Journal of Frontiers of …, 2023 - search.ebscohost.com
As an effective representation of knowledge, knowledge graph network can be used to
represent rich factual information between different categories and become an effective …
represent rich factual information between different categories and become an effective …
Multi-space interaction learning for disentangled knowledge-aware recommendation
Abstract Knowledge graphs are becoming increasingly valuable as auxiliary information in
current recommendation systems. User-item interaction modeling (within user-item …
current recommendation systems. User-item interaction modeling (within user-item …
Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding
Link prediction remains paramount in knowledge graph embedding (KGE), aiming to discern
obscured or non-manifest relationships within a given knowledge graph (KG). Despite the …
obscured or non-manifest relationships within a given knowledge graph (KG). Despite the …
[引用][C] Construction and application of Knowledge Graph based on graph neural network
XU Xinran, W Tengyu, LU Cai - Journal of Frontiers of Computer Science & Technology