User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph
In common graph neural network (GNN), although incorporating social network information effectively utilizes interactions between users, it often overlooks the deeper semantic relationships between items and fails to integrate visual and textual feature information. This limitation can restrict the...
Saved in:
| Main Authors: | Xiaofei Han, Xin Dou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
|
| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1587973/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs
by: Hui Wang, et al.
Published: (2025-01-01) -
A Novel Hierarchical Multimodal Recommender With Enhanced Global Collaborative Signals
by: Peng Yi, et al.
Published: (2025-01-01) -
CGRS: Collaborative Knowledge Propagation Graph Attention Network for Recipes Recommendation
by: Suzhi Zhang, et al.
Published: (2023-12-01) -
SiamAHG: adaptive hierarchical graph attention for lightweight siamese tracking
by: Na Li, et al.
Published: (2025-05-01) -
Feature recommendation strategy for graph convolutional network
by: Jisheng Qin, et al.
Published: (2022-12-01)