Species distribution models support the analysis of biodiversity patterns and conservation planning, but existing methods struggle to represent complex predictor relationships, biotic interactions, irregular environmental data, and community networks. ECOGraph integrates graph theory and deep learning into species distribution models. It develops Graph Neural Networks and graph generative models to capture spatio-temporal relationships, represent species communities, and assess plant species distributions under different climate scenarios.