From 77ab69de3485d05b51455e3b487730f9d352eaad Mon Sep 17 00:00:00 2001 From: ArnoStrouwen Date: Tue, 23 Jan 2024 17:20:05 +0100 Subject: [PATCH] fix broken link in documentation --- docs/src/examples/neural_ode/neural_gde.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/src/examples/neural_ode/neural_gde.md b/docs/src/examples/neural_ode/neural_gde.md index 25a5f8036..797f80956 100644 --- a/docs/src/examples/neural_ode/neural_gde.md +++ b/docs/src/examples/neural_ode/neural_gde.md @@ -2,7 +2,7 @@ This tutorial has been adapted from [here](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/blob/master/examples/neural_ode_cora.jl). -In this tutorial, we will use Graph Differential Equations (GDEs) to perform classification on the [CORA Dataset](https://relational.fit.cvut.cz/dataset/CORA). We shall be using the Graph Neural Networks primitives from the package [GraphNeuralNetworks](https://github.com/CarloLucibello/GraphNeuralNetworks.jl). +In this tutorial, we will use Graph Differential Equations (GDEs) to perform classification on the [CORA Dataset](https://paperswithcode.com/dataset/cora). We shall be using the Graph Neural Networks primitives from the package [GraphNeuralNetworks](https://github.com/CarloLucibello/GraphNeuralNetworks.jl). ```julia # Load the packages