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#machine learning Open access Sep 2026

Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an Open-Ended Substrate

We study an in silico substrate in which every pixel of a two-channel cellular-automata grid carries a tiny neural network (an agent) that senses its Moore neighbourhood. A cell persists only by self-replication: a living neighbour is cloned, and its weights are mutated by a uniform perturbation, so that phenotype (cel...

S. Jain, F. Reimers, Stefano Nichele · 0 citations
#artificial intelligence Preprint Sep 2026

Repurposing Unified Topological Signatures for Graph Representation Learning

Theoretically, it is shown that integrating UTS into GNN optimization strictly extends GNN expressivity beyond the 1-WL hierarchy, and experiments on three graph classification benchmarks show consistent benefits: Graph-UTS, Dual-UTS, and UTS-Pool improve accuracy across all three datasets, Embedding-UTS provides small...

S. Jain, Anshika Krishnatray, Aditya Sharma et al. · 0 citations

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