updated README

README.md

@@ -4,26 +4,26 @@ nx-parallel is a NetworkX backend that uses joblib for parallelization. This pro
 
 ## Algorithms in nx-parallel
 
-- [number_of_isolates](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/isolate.py#L8)
-- [square_clustering](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/cluster.py#L10)
-- [local_efficiency](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/efficiency_measures.py#L9)
-- [closeness_vitality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/vitality.py#L9)
-- [is_reachable](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L10)
-- [tournament_is_strongly_connected](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L54)
-- [all_pairs_node_connectivity](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/connectivity/connectivity.py#L17)
-- [approximate_all_pairs_node_connectivity](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/approximation/connectivity.py#L12)
-- [betweenness_centrality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/centrality/betweenness.py#L19)
-- [edge_betweenness_centrality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/centrality/betweenness.py#L94)
-- [node_redundancy](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/bipartite/redundancy.py#L11)
-- [all_pairs_dijkstra](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L28)
-- [all_pairs_dijkstra_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L71)
-- [all_pairs_dijkstra_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L121)
-- [all_pairs_bellman_ford_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L164)
-- [all_pairs_bellman_ford_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L209)
-- [johnson](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L252)
-- [all_pairs_all_shortest_paths](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/generic.py#L10)
-- [all_pairs_shortest_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/unweighted.py#L18)
-- [all_pairs_shortest_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/unweighted.py#L62)
+- [all_pairs_all_shortest_paths](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/generic.py#L11)
+- [all_pairs_bellman_ford_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L212)
+- [all_pairs_bellman_ford_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L168)
+- [all_pairs_dijkstra](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L29)
+- [all_pairs_dijkstra_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L124)
+- [all_pairs_dijkstra_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L73)
+- [all_pairs_node_connectivity](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/connectivity/connectivity.py#L18)
+- [all_pairs_shortest_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/unweighted.py#L63)
+- [all_pairs_shortest_path_length](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/unweighted.py#L19)
+- [approximate_all_pairs_node_connectivity](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/approximation/connectivity.py#L13)
+- [betweenness_centrality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/centrality/betweenness.py#L20)
+- [closeness_vitality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/vitality.py#L10)
+- [edge_betweenness_centrality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/centrality/betweenness.py#L96)
+- [is_reachable](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L13)
+- [johnson](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L256)
+- [local_efficiency](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/efficiency_measures.py#L10)
+- [node_redundancy](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/bipartite/redundancy.py#L12)
+- [number_of_isolates](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/isolate.py#L9)
+- [square_clustering](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/cluster.py#L11)
+- [tournament_is_strongly_connected](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L59)
 
 <details>
 <summary>Script used to generate the above list</summary>