Test on Python 3.13 without DGL

.github/workflows/base-ci.yaml

@@ -28,10 +28,9 @@ jobs:
     name: CI (${{ matrix.os }}, py-${{ matrix.python-version }}, openeye=${{ matrix.include-openeye }}
     runs-on: ${{ matrix.os }}
     strategy:
-        fail-fast: false
         matrix:
           os: [macOS-latest, ubuntu-latest]
-          python-version: ["3.12"]
+          python-version: ["3.13"]
           include-openeye: [false, true]
 
     steps:

.github/workflows/dev-ci.yaml

@@ -24,10 +24,9 @@ jobs:
     name: Nightly check
     runs-on: ${{ matrix.os }}
     strategy:
-        fail-fast: false
         matrix:
           os: [macOS-latest, ubuntu-latest]
-          python-version: ["3.12"]
+          python-version: ["3.13"]
 
     steps:
     - uses: actions/checkout@v7

.github/workflows/gh-ci.yaml

@@ -28,12 +28,11 @@ jobs:
     name: CI (${{ matrix.os }}, py-${{ matrix.python-version }}, openeye=${{ matrix.include-openeye }}, dgl=${{ matrix.include-dgl }})
     runs-on: ${{ matrix.os }}
     strategy:
-        fail-fast: false
         matrix:
           os: [macOS-latest, ubuntu-latest]
-          python-version: ["3.12"]
+          python-version: ["3.13"]
           include-openeye: [false, true]
-          include-dgl: [false, true]
+          include-dgl: [false]
 
     steps:
     - uses: actions/checkout@v7
@@ -99,9 +98,8 @@ jobs:
   install_from_source_conda:
     runs-on: ubuntu-latest
     strategy:
-        fail-fast: false
         matrix:
-          python-version: ["3.12"]
+          python-version: ["3.12", "3.13"]
 
     steps:
     - uses: actions/checkout@v7

openff/nagl/nn/gcn/_base.py

@@ -8,6 +8,17 @@
 from openff.nagl.nn.activation import ActivationFunction
 from openff.nagl.nn._base import ContainsLayersMixin
 
+# Source - https://stackoverflow.com/a/5192374
+# Posted by jchl
+# Retrieved 2026-09-08, License - CC BY-SA 2.5
+class classproperty:
+    def __init__(self, func):
+        self.func = func
+
+    def __get__(self, instance, owner):
+        return self.func(owner)
+
+
 GCNLayerType = TypeVar("GCNLayerType", bound=torch.nn.Module)
 
 
@@ -62,32 +73,27 @@ class BaseGCNStack(
 
     # hidden_feature_sizes: List[GCNLayerType]
 
-    @classmethod
-    @property
+    @classproperty
     @abc.abstractmethod
     def name(cls) -> str:
         pass
 
-    @classmethod
-    @property
+    @classproperty
     @abc.abstractmethod
     def available_aggregator_types(cls) -> str:
         """The aggregator options to use for the GCN layers."""
 
-    @classmethod
-    @property
+    @classproperty
     @abc.abstractmethod
     def default_aggregator_type(cls) -> str:
         """The aggregator options to use for the GCN layers."""
 
-    @classmethod
-    @property
+    @classproperty
     @abc.abstractmethod
     def default_dropout(cls) -> str:
         """The aggregator options to use for the GCN layers."""
 
-    @classmethod
-    @property
+    @classproperty
     @abc.abstractmethod
     def default_activation_function(cls) -> str:
         """The aggregator options to use for the GCN layers."""