# \#geometricflux

**URL:** https://discourse.julialang.org/tag/geometricflux/843.md

[Latest](https://discourse.julialang.org/latest.md) · [Categories](https://discourse.julialang.org/categories.md) · [Tags](https://discourse.julialang.org/tags.md)

---

## [Best options for Graph Neural Network integration with Flux](https://discourse.julialang.org/t/best-options-for-graph-neural-network-integration-with-flux/133368)

<div class="topic-metadata">

**Author:** [@AriMarkowitz](https://discourse.julialang.org/u/AriMarkowitz)\
**Replies:** 5\
**Last updated:** [October 24, 2025, 7:15am UTC](https://discourse.julialang.org/t/best-options-for-graph-neural-network-integration-with-flux/133368 "2025-10-24T07:15:42Z")

</div>

Hello! I built a library that utilizes GraphNeuralNetworks.jl and Flux.jl, but the GraphNeuralNetworks.jl tests are currently failing in Julia 1.12 (and the same failure is causing my custom library to crash when used).…

---

## [Crystal Graphs w/ GeometricFlux.jl](https://discourse.julialang.org/t/crystal-graphs-w-geometricflux-jl/109773)

<div class="topic-metadata">

**Author:** [@Stefan\_Bringuier](https://discourse.julialang.org/u/Stefan_Bringuier)\
**Replies:** 0\
**Last updated:** [February 6, 2024, 12:25am UTC](https://discourse.julialang.org/t/crystal-graphs-w-geometricflux-jl/109773 "2024-02-06T00:25:40Z")

</div>

I’m fairly new to GeometricFlux.jl and working on trying to implement the Crystal Graph CNN approach by Xie and Grossman. I have the following FeaturedGraph, target pair dataset. I guess what I’m wondering is 1.) How sho…

---

## [Using a variable graph structure with NeuralODE and GCNConv](https://discourse.julialang.org/t/using-a-variable-graph-structure-with-neuralode-and-gcnconv/78881)

<div class="topic-metadata">

**Author:** [@Zapientus](https://discourse.julialang.org/u/Zapientus)\
**Replies:** 3\
**Last updated:** [June 22, 2022, 4:56am UTC](https://discourse.julialang.org/t/using-a-variable-graph-structure-with-neuralode-and-gcnconv/78881 "2022-06-22T04:56:20Z")

</div>

Hello everyone, I have recently been working with Graph Neural Ordinary Differential Equations for structure predictions of proteins. This has been working quite well as long as the graph structure is fixed and given to…

---

## [Multigraph neural networks in Julia](https://discourse.julialang.org/t/multigraph-neural-networks-in-julia/70595)

<div class="topic-metadata">

**Author:** [@bad\_at\_math](https://discourse.julialang.org/u/bad_at_math)\
**Replies:** 4\
**Last updated:** [November 15, 2021, 7:21pm UTC](https://discourse.julialang.org/t/multigraph-neural-networks-in-julia/70595 "2021-11-15T19:21:20Z")

</div>

GeometricFlux.jl (https://fluxml.ai/GeometricFlux.jl/dev/manual/conv/#Crystal-Graph-Convolutional-Network-1) and GraphNeuralNetworks.jl (Convolutional Layers · GraphNeuralNetworks.jl) both implement a layer based on the …

---

## [Minibatches of graphs in GeometricFlux.jl](https://discourse.julialang.org/t/minibatches-of-graphs-in-geometricflux-jl/70170)

<div class="topic-metadata">

**Author:** [@bad\_at\_math](https://discourse.julialang.org/u/bad_at_math)\
**Replies:** 2\
**Last updated:** [October 22, 2021, 1:04pm UTC](https://discourse.julialang.org/t/minibatches-of-graphs-in-geometricflux-jl/70170 "2021-10-22T13:04:55Z")

</div>

In the supervised graph problem, you train a neural network that maps entire graph instances to target values. The GeometricFlux.jl package has great functionality for training graph neural networks; however, all of the …
