Update docs

Author: yu-ta-sato

CHANGELOG.md

@@ -6,6 +6,22 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
 
+## 0.3.1 (2026-03-21)
+
+### Added
+- Added regression coverage for undirected metapath deduplication in `add_metapaths()` and `add_metapaths_by_weight()` across GeoDataFrame and NetworkX graph outputs.
+
+### Changed
+- Refreshed the locked dependencies in `uv.lock`.
+
+### Fixed
+- Fixed undirected metapath materialization so mirrored traversals collapse into one path signature when `directed=False`.
+- Fixed undirected weighted metapath extraction so endpoint pairs are emitted only once instead of duplicating reversed edges.
+
+### Documentation
+- Updated release metadata and versioned documentation links for `v0.3.1`.
+
+
 ## 0.3.0 (2026-03-15)
 
 ### Added

CITATION.cff

@@ -12,8 +12,8 @@ authors:
 repository-code: "https://github.com/c2g-dev/city2graph"
 url: "https://city2graph.net"
 license: BSD-3-Clause
-version: 0.3.0
-date-released: "2026-03-15"
+version: 0.3.1
+date-released: "2026-03-21"
 keywords:
   - GeoAI
   - Graph Neural Networks
@@ -40,6 +40,6 @@ preferred-citation:
       family-names: Sato
       email: y.sato@liverpool.ac.uk
       affiliation: University of Liverpool
-  version: 0.3.0
+  version: 0.3.1
   url: "https://github.com/c2g-dev/city2graph"
   year: 2026

docs/examples/add_metapaths.ipynb

@@ -2,6 +2,7 @@ User-agent: *
 Allow: /
 Sitemap: https://city2graph.net/latest/sitemap.xml
 Sitemap: https://city2graph.net/stable/sitemap.xml
+Sitemap: https://city2graph.net/0.3.1/sitemap.xml
 Sitemap: https://city2graph.net/0.3.0/sitemap.xml
 Sitemap: https://city2graph.net/0.2.4/sitemap.xml
 Sitemap: https://city2graph.net/0.2.3/sitemap.xml

docs/robots.txt

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "city2graph"
-version = "0.3.0"
+version = "0.3.1"
 description = "A Python library for Geospatial Graph Neural Networks and GeoAI for Urban Analytics with PyTorch Geometric. Convert geospatial data to graphs for spatiotemporal analysis, urban mobility studies, and more."
 authors = [
     {name = "Yuta Sato", email = "y.sato@liverpool.ac.uk"}