Formatted question description: https://leetcode.ca/all/1761.html
1761. Minimum Degree of a Connected Trio in a Graph
Level
Hard
Description
You are given an undirected graph. You are given an integer n
which is the number of nodes in the graph and an array edges
, where each edges[i] = [u_i, v_i]
indicates that there is an undirected edge between u_i
and v_i
.
A connected trio is a set of three nodes where there is an edge between every pair of them.
The degree of a connected trio is the number of edges where one endpoint is in the trio, and the other is not.
Return the minimum degree of a connected trio in the graph, or 1
if the graph has no connected trios.
Example 1:
Input: n = 6, edges = [[1,2],[1,3],[3,2],[4,1],[5,2],[3,6]]
Output: 3
Explanation: There is exactly one trio, which is [1,2,3]. The edges that form its degree are bolded in the figure above.
Example 2:
Input: n = 7, edges = [[1,3],[4,1],[4,3],[2,5],[5,6],[6,7],[7,5],[2,6]]
Output: 0
Explanation: There are exactly three trios:
1) [1,4,3] with degree 0.
2) [2,5,6] with degree 2.
3) [5,6,7] with degree 2.
Constraints:
2 <= n <= 400
edges[i].length == 2
1 <= edges.length <= n * (n1) / 2
1 <= u_i, v_i <= n
u_i != v_i
 There are no repeated edges.
Solution
Use a hash map to store each node’s connected nodes. Then loop over all tuples of nodes and determine whether the three nodes form a connected trio. If the three nodes form a connected trio, calculate the sum of the numbers of edges that connect to the three nodes and subtract 6 from the sum (to exclude the edges inside the trio). During the process, maintain the minimum degree. Finally, return the minimum degree.

class Solution { public int minTrioDegree(int n, int[][] edges) { Map<Integer, Set<Integer>> map = new HashMap<Integer, Set<Integer>>(); for (int[] edge : edges) { int node0 = edge[0], node1 = edge[1]; Set<Integer> set0 = map.getOrDefault(node0, new HashSet<Integer>()); Set<Integer> set1 = map.getOrDefault(node1, new HashSet<Integer>()); set0.add(node1); set1.add(node0); map.put(node0, set0); map.put(node1, set1); } int minDegree = Integer.MAX_VALUE; for (int i = 1; i <= n; i++) { Set<Integer> set = map.getOrDefault(i, new HashSet<Integer>()); if (set.size() < 2) continue; List<Integer> list = new ArrayList<Integer>(set); int size = list.size(); for (int j = 0; j < size; j++) { int node1 = list.get(j); Set<Integer> set1 = map.get(node1); for (int k = j + 1; k < size; k++) { int node2 = list.get(k); if (set1.contains(node2)) { Set<Integer> set2 = map.get(node2); int count = set.size() + set1.size() + set2.size()  6; minDegree = Math.min(minDegree, count); } } } } return minDegree == Integer.MAX_VALUE ? 1 : minDegree; } }

Todo

print("Todo!")