most citedDual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2024

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning

Jeonghoon Kim, Heesoo Jung, Hyeju Jang +1

Multi-hop logical reasoning on knowledge graphs is a pivotal task in natural language processing, with numerous approaches aiming to answer First-Order Logic (FOL) queries. Recent…

cs.AI2023★ 10 cited

Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

Heesoo Jung, Sangpil Kim, Hogun Park

Graph Neural Networks (GNNs) provide powerful representations for recommendation tasks. GNN-based recommendation systems capture the complex high-order connectivity between users a…