Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.2.3 to 2.7.0.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@2.2.3...2.7.0)

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- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: indirect
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Bumps [idna](https://github.com/kjd/idna) from 3.10 to 3.15.
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.md)
- [Commits](kjd/idna@v3.10...v3.15)

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- dependency-name: idna
  dependency-version: '3.15'
  dependency-type: indirect
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Bumps [mako](https://github.com/sqlalchemy/mako) from 1.3.10 to 1.3.12.
- [Release notes](https://github.com/sqlalchemy/mako/releases)
- [Changelog](https://github.com/sqlalchemy/mako/blob/main/CHANGES)
- [Commits](https://github.com/sqlalchemy/mako/commits)

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- dependency-name: mako
  dependency-version: 1.3.12
  dependency-type: indirect
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Bumps [setuptools](https://github.com/pypa/setuptools) from 75.3.2 to 83.0.0.
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v75.3.2...v83.0.0)

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- dependency-name: setuptools
  dependency-version: 83.0.0
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Critical fixes:
- graph.py: torch.sparse.mm(P, dim=1) → torch.sparse.softmax(P, dim=1)
- graph.py: from_hypergraph_clique miu parameter no longer ignored
- directed_graph.py: reverse_direction now clears cache
- base.py: _merge_hyperedges no longer overwrites list elements
- recommender.py: add missing numpy import
- retrieval.py: fix RR/MRR formula (first relevant rank, not mean)
- unignn_conv.py: UniGINConv eps on self term, not aggregation term
- unignn_conv.py: UniGATConv attention now uses atten_dst (node+hyperedge)
- bgnn.py: fix forward return type annotation
- hypergraph.py: fix missing comma in vars_for_DL cache keys

High-severity fixes:
- dataset_wrapers.py: negative sampling no longer infinite-loops
- dataset_split.py: label shifting handles any min value
- normalize.py: min_max_scaler guards against division by zero
- random graph generators: handle prob=0/1 edge cases
- random Gnm: allow complete graphs (< → <=)
- base.py: empty e_list no longer crashes
- random hypergraphs: add max-edges validation, k<=num_v check
- directed_graph/bipartite_graph: empty matrix device= fix

Medium fixes:
- download.py: add request timeout, chunked MD5, remove dead code
- logging.py: add close() method, utf-8 encoding
- retrieval.py: ap/pr_curve now truncate to top-k
- hypergcn.py: pass device=X.device in fast mode
- feature.py: .cpu().numpy() for CUDA tensors
- _seed.py: seed CUDA RNG
- base.py: use .get() for cache access
- gat_conv.py: .squeeze(-1) to prevent dim collapse

Visualization fix (#37):
- utils.py: PatchCollection now receives linewidths= argument
- draw.py: fix type hints Union[str, list] → Union[float, list]

UniGATConv attention fix (#46):
- Concatenate node vector and hyperedge vector per UniGNN paper

Test fixes:
- test_split.py: pytest.approx(x, 5) → pytest.approx(x, abs=5)
- test_hypergraph.py: fix out-of-bounds vertex index

CI/CD:
- Improve tests.yml: Python 3.9-3.12 matrix, trigger on tags
- Add publish.yml: auto-publish to PyPI on tag push (Trusted Publishers)
- README: add CI badges, update version, fix swapped dataset links

Bump setuptools from 75.3.2 to 83.0.0