2026
Learning Network Dismantling Without Handcrafted Inputs
AAAI 2026technical
The application of message-passing Graph Neural Networks has been a breakthrough for important network science problems. However, the competitive performance often relies on using handcrafted structural features as inputs, which increases computational cost and introduces bias into the otherwise pur