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graph-generative-model

Here are 7 public repositories matching this topic...

calvin-zcx / moflow

MoFlow: an invertible flow model for generating molecular graphs

molecular-graphs graph-generative-model molecule-design optimize-existing-molecules moflow

Updated Mar 14, 2023
Python

davidchouzdw / TagGen

A Data-Driven Graph Generative Model for Temporal Interaction Networks

deep-learning graph-generative-model temporal-interaction-network

Updated Oct 11, 2022
Python

aidos-lab / curvature-filtrations

SCOTT: Synthesizing Curvature Operations and Topological Tools

curvature topological-data-analysis topological-machine-learning graph-generative-model neurips-2023

Updated Oct 22, 2025
Python

zeno129 / DYMOND

DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.

motifs dynamic-networks dynamic-graphs graph-generative-model

Updated Mar 16, 2023
Python

BorgwardtLab / autoregressive-noisy-filtration-modeling

Official implementation of the ANFM graph generative model (TMLR, 2026)

generative-model graph-generation graph-neural-networks graph-generative-model

Updated Feb 7, 2025
Python

Aalto-QuML / Diffusion_twigs

[NeurIPS 2024] Diffusion Twigs with Loop Guidance for Conditional Graph Generation

generative-model diffusion-models conditional-generation score-matching graph-generative-model

Updated Nov 5, 2024
Python

zeno129 / DYANE

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

Updated Oct 22, 2023
Python

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