Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search

Yiqiao Liao, Parinaz Naghizadeh

Existing learning-based influence maximization frameworks rely heavily on complex neural architectures and continuous optimization over seed representations. We challenge this para…