text: 1️⃣ GNNs treat smoothness as an inductive bias. This isn't always suitable for CO problems, which often require high-frequency info.
  2️⃣ CO graphs usually lack informative node features.
  3️⃣ NP-hardness limits labeled data availability, making supervised learning infeasible. 🧵[4/n]