MoFlow: an invertible flow model for generating molecular graphs
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Mar 14, 2023 - Python
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graph-generative-model
Here are 8 public repositories matching this topic...
A Data-Driven Graph Generative Model for Temporal Interaction Networks
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Oct 11, 2022 - Python
SCOTT: Synthesizing Curvature Operations and Topological Tools
curvature topological-data-analysis topological-machine-learning graph-generative-model neurips-2023
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Oct 22, 2025 - 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
Official implementation of the ANFM graph generative model (TMLR, 2026)
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Feb 7, 2025 - Python
[NeurIPS 2024] Diffusion Twigs with Loop Guidance for Conditional Graph Generation
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Nov 5, 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
This is the official implementation of the FLAGG framework as published in the 2026 JMLR paper "FLAGG: Flexible Autoregressive Graph Generation". The framework is highly customizable to create new combinations of autoregressive graph generative models with existing and yet-to-exist one-shot models.
graph-generation graph-generative-model graph-generative-models autoregressive-generation autoregressive-generative-model autoregressive-generative-models
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Apr 30, 2026 - Jupyter Notebook
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