geometric-kernels · vabor112 · Oct 30, 2025 · Oct 26, 2025 · Oct 27, 2025 · Oct 27, 2025
diff --git a/README.md b/README.md
@@ -161,6 +161,8 @@ Run the tests
 make test
 ```
 
+**Example:** If you want to learn how to implement your own space or kernel component, checkout the [CustomSpacesAndKernels.ipynb](https://github.com/geometric-kernels/GeometricKernels/blob/main/notebooks/CustomSpacesAndKernels.ipynb) notebook.
+
 ## If you have a question
 
 Post it in issues using the `"How do I do ..." and other issues` template and the "question" label.

diff --git a/docs/examples/CustomSpacesAndKernels.nblink b/docs/examples/CustomSpacesAndKernels.nblink
@@ -0,0 +1 @@
+{"path": "../../notebooks/CustomSpacesAndKernels.ipynb"}
diff --git a/docs/examples/examples.rst b/docs/examples/examples.rst
@@ -6,6 +6,7 @@ Spaces
 .. toctree::
    :titlesonly:
 
+   Custom Spaces and Kernels <CustomSpacesAndKernels>
    Graph <Graph>
    GraphEdges <GraphEdges>
    Hyperbolic <Hyperbolic>

diff --git a/docs/examples/introduction.rst b/docs/examples/introduction.rst
@@ -6,6 +6,8 @@ If you are interested in using GeometricKernels with a backend other than NumPy,
 
 If you want to use GeometricKernels with one of the popular Gaussian process libraries, checkout the *Frontends* notebooks.
 
+If you want to learn how to implement your own space or kernel component, checkout `CustomSpacesAndKernels.ipynb <CustomSpacesAndKernels.html>`_ notebook.
+
 Finally, if you are interested in application examples:
 
 * `PeMS Regression <https://github.com/vabor112/pems-regression>`__  

diff --git a/docs/index.rst b/docs/index.rst
@@ -395,9 +395,18 @@ You can find more examples :doc:`here <examples/index>`.
 Citation
 ========
 
-If you are using GeometricKernels, please consider citing the theoretical papers it is based on.
+If you are using GeometricKernels, please cite the `library paper <https://arxiv.org/pdf/2407.08086>`__:
 
-You can find the relevant references for any space in
+..  code-block:: latex
+
+  @article{mostowsky2024,
+        title = {The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs},
+        author = {Peter Mostowsky and Vincent Dutordoir and Iskander Azangulov and Noémie Jaquier and Michael John Hutchinson and Aditya Ravuri and Leonel Rozo and Alexander Terenin and Viacheslav Borovitskiy},
+        year = {2024},
+        journal = {arXiv:2407.08086},
+  }
+
+Please also consider citing the theoretical papers the library is based on. You can find the relevant references for any space in
 
 - the docstring of the respective space class,
 - at the end of the respective tutorial notebook.

diff --git a/geometric_kernels/spaces/graph_edges.py b/geometric_kernels/spaces/graph_edges.py
@@ -4,9 +4,8 @@
 
 import lab as B
 import numpy as np
-from beartype.door import is_bearable
 from beartype.typing import Dict, List, Optional, Tuple, Union
-from scipy.sparse import csr_matrix, lil_matrix
+from scipy.sparse import csr_matrix, issparse, lil_matrix
 
 from geometric_kernels.lab_extras import (
     SparseArray,
@@ -447,7 +446,7 @@ def from_adjacency(  # noqa: C901
         """
         if isinstance(adjacency_matrix, np.ndarray):
             index = csr_matrix(adjacency_matrix, dtype=int)
-        elif is_bearable(adjacency_matrix, SparseArray):
+        elif issparse(adjacency_matrix):
             index = csr_matrix(adjacency_matrix, dtype=int, copy=True)
         else:
             raise ValueError(
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1 @@
		{"path": "../../notebooks/CustomSpacesAndKernels.ipynb"}