MoFlow: an invertible flow model for generating molecular graphs
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Mar 14, 2023 - Python
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graph-generative-model
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A Data-Driven Graph Generative Model for Temporal Interaction Networks
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Oct 11, 2022 - Python
DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
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Mar 16, 2023 - Python
Curvature Filtrations for Graph Generative Model Evaluation
curvature
topological-data-analysis
topological-machine-learning
graph-generative-model
neurips-2023
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Nov 8, 2024 - Python
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
motifs
dynamic-networks
dynamic-graphs
temporal-graphs
text-embeddings
node-embeddings
attributed-graphs
graph-generative-model
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Oct 22, 2023 - Python
Supporting code for the NeurIPS 2024 paper 'Diffusion Twigs with Loop Guidance for Conditional Graph Generation'.
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Nov 5, 2024 - Python
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