2026 International Conference on Graph Neural Networks and Complex Systems Analysis

Direction 1: Graph Neural Networks Graph Neural Network Architecture Graph Convolutional Network Graph attention mechanism Image Autoencoder Graph generation model Dynamic Graph Neural Network Heterogeneous Graph Neural Networks Interpretability of graph neural networks Graph Neural Network Optimization Image Transfer Learning Direction 2: Complex System Analysis Complex Network Theory network dynamics System emergence behavior Complex System Modeling Multi-agent system Network robustness analysis Cascading failure mechanism Complex system prediction Network Evolution Analysis Complex System Control