Momiao Xiong

The paper introduces a minimal model for population intelligence and shows that equilibrium error scales with population size and directional selection affects safety scores without altering synchronization.

The paper introduces a unified model for biological prediction that integrates geometry, mechanism, and causal structure, achieving lower error than Euclidean and local graph baselines in synthetic studies.

The paper introduces a causal inference and graph neural network framework for drug repurposing, demonstrating its effectiveness through simulations and application to L1000 connectivity map data.