Oct 17, 2022 · This article develops a novel and realistic package recommendation system named package graph attention network (PGAT) based on graph neural network.
This article develops a novel and realistic package recommendation system named package graph attention network (PGAT) based on graph neural network. PGAT ...
Learning Distinct Relationship in Package Recommendation With Graph Attention Networks. グラフ注意ネットワークによるパッケージ推薦における明確な関係の学習 ...
Jan 15, 2024 · In this paper, we propose a Graph Attention Transformer Network (GATN), a general framework for multi-label image classification that can effectively mine ...
People also ask
What does a graph attention network do?
What is the difference between GCN and GAT?
In this review, we present a thorough examination of GATs, covering both diverse approaches and a wide range of applications.
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation · Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized ...
Jul 20, 2023 · Graph Attention Networks (GATs) are a variant of Graph Neural Networks (GNNs) that leverage attention mechanisms for feature learning on graphs.
Sep 29, 2024 · To facilitate the learning of complementary relationship between items, graph neural networks (GNN) has been widely adopted [1]–[4] in the e ...
Apr 1, 2022 · We propose a graph neural network-based model for the travel recommendation. User and item representations are learned in multi-view graph embedding networks.
Missing: Distinct | Show results with:Distinct
Sep 3, 2024 · In this review, we present a thorough examination of GATs, covering both diverse approaches and a wide range of applications.