GraphAny
GraphAny is a groundbreaking foundation model for node classification on any graph, addressing the limitations of existing models that struggle to generalize across different graph structures and feature spaces. This innovative approach leverages a novel architecture consisting of LinearGNNs and an attention mechanism that learns to combine their predictions, enabling effective inference on new graphs without the need for retraining. By learning attention scores for each node based on entropy-normalized distance features, GraphAny demonstrates remarkable generalization capabilities, surpassing traditional methods in various node classification tasks.