DataFunSummit
Jan 13, 2025 · Artificial Intelligence
Deep Learning Approaches for Solving Graph Optimization Problems
This article reviews the use of deep learning, including supervised, reinforcement, and self‑supervised paradigms, to address graph optimization problems such as facility location and balanced graph partitioning, discusses existing research challenges, presents a three‑stage self‑supervised model with graph contrastive pre‑training, and evaluates its performance on synthetic and real‑world datasets.
Deep LearningGraph Neural Networkscombinatorial optimization
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