Update networkx requirement from ==2.*,>=2.5 to >=2,<4

[dependabot]

Updates the requirements on networkx to permit the latest version.

Release notes

Sourced from networkx's releases.

NetworkX 3.3

networkx 3.3

We're happy to announce the release of networkx 3.3!

API Changes

• Disallow negative number of nodes in complete_multipartite_graph (#7057).
• DEP: Deprecate the all_triplets one-liner (#7060).
• [A-star] Added expansion pruning via cutoff if cutoff is provided (#7073).
• Make HITS raise exceptions consistent with power iterations (#7084).
• DEP: Deprecate random_triad (#7061).
• Added feature modular graph product (#7227).
• ENH: Speed up common/non_neighbors by using _adj dict operations (#7244).
• Deprecate the create argument of nonisomorphic_trees (#7316).
• Improve total_spanning_tree_weight (#7100).
• Update init.py (#7320).
• add **kwargs to traveling_salesman_problem (#7371).

Enhancements

• Add Tadpole graph (#6999).
• [A-star] Added expansion pruning via cutoff if cutoff is provided (#7073).
• Implementation of $S^1$ model (#6858).
• [Feat] Random expanders utilities (#6761).
• Compare graphs for generator functions when running tests with backend (#7066).
• Add Kirchhoff index / Effective graph resistance (#6926).
• Changed return types of shortest path methods to improve consistency (#6584).
• New PR for Fixes minimal d-separator function failing to handle cases where no d-separators exist (#7019).
• ENH : Provide non-normalized and normalized directed laplacian matrix calculation (#7199).
• feat: drop the use of node attribute "first_nbr" in PlanarEmbedding (#7202).
• Add functions to compute Schultz and Gutman Index (#3709).
• Divisive community algorithms (#5830).
• Added feature modular graph product (#7227).
• ENH : added sort_neighbors to all functions in depth_first_search.py (#7196).
• New graph generator for the Kneser graph (#7146).
• Draw MultiDiGraph edges and labels qa7008 (#7010).
• Use github actions to run a comparison benchmark (#7268).
• BFS layout implementation (#5179).
• Add max_level= argument to louvain_communities to limit macro-iterations (#6909).
• Review and update @nx._dispatchable usage since 3.2.1 (#7302).
• Transmogrify _dispatchable objects into functions (#7298).
• fix: make PlanarEmbedding.copy() use add_edges_from() from parent (closes #7223) (#7224).
• Allow seed of np.random instance to exactly produce arbitrarily large integers (#6869).
• Improve total_spanning_tree_weight (#7100).
• add seed to nx.generate_random_paths (#7332).
• Allow backends to implement should_run (#7257).
• Adding tree broadcasting algorithm in a new module (#6928).
• Option to include initial labels in weisfeiler_lehman_subgraph_hashes (#6601).
• Add better error message when trying to get edge that is not present (#7245).

... (truncated)

Commits

• 7fdddfa Designate 3.3 release
• 7fe09dd Bump the GH actions with 3 updates (#7310)
• 83d2cf4 Move the backend docs and connect the config docs. Both in a single sidebar e...
• 754173b Fix exception for del config[key] (#7391)
• 26d218b Rm deprecated np.row_stack in favor of vstack. (#7390)
• 0d878d8 Update test suite to handle when scipy is not installed (#7388)
• fbb2d82 Add dispatching to broadcasting.py (#7386)
• 76c3e9b Fix pygraphviz tests causing segmentation faults in backend test (#7380)
• c8c838f add **kwargs to traveling_salesman_problem (#7371)
• 6e84e1e ENH: Cache graphs objects when converting to a backend (#7345)
• Additional commits viewable in compare view

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