Network Interdiction Goes Neural
Solving Network Interdiction Problems with Graph Neural Networks
Unifying Spectral and Spatial Graph Neural Networks
Explore state-of-the-art GNNs and present a comprehensive framework that bridges the spatial and spectral domains, clarifying their interrelationship
Zhiqian Chen
Infinitely Deep Graph Transformation Networks
Deep Equilibrium Model for Node-Edge Co-Evolution Graph Neural Network
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
Neural architecture search + echo-state encoder