3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Decision-focused Graph Neural Networks for Combinatorial Optimization
Yang Liu, Chuan Zhou, Peng Zhang +3
In recent years, there has been notable interest in investigating combinatorial optimization (CO) problems by neural-based framework. An emerging strategy to tackle these challengi…
cs.LG2024★ 3 cited
Combinatorial Optimization with Automated Graph Neural Networks
Yang Liu, Peng Zhang, Yang Gao +3
In recent years, graph neural networks (GNNs) have become increasingly popular for solving NP-hard combinatorial optimization (CO) problems, such as maximum cut and maximum indepen…
cs.LG2023★ 1 cited
GIPA: A General Information Propagation Algorithm for Graph Learning
Houyi Li, Zhihong Chen, Zhao Li +3
Graph neural networks (GNNs) have been widely used in graph-structured data computation, showing promising performance in various applications such as node classification, link pre…