无权图的最小路径

最近特别喜欢用递归，今天也遇到了一道题关于图的最短路径的，想想用递归可以做，就编了下，我也不知道这属于数据结构上的那种算法，就照着自己的思路来的，这是无权图的，我想改成有权图也不难无非是把返回路径改成返回权的总和，比较时比较哪个最小

以下是代码

import java.util.ArrayList;  
import java.util.List;  
import java.util.Scanner;  
  
public class 危险系数1 {  
  
    public static void main(String[] args) {  
        // TODO Auto-generated method stub  
        System.out.println("输入数据");  
        Scanner scanner = new Scanner(System.in);  
        int n = scanner.nextInt();  
        int m = scanner.nextInt();  
        TuNode1[] tuNodes = new TuNode1[n];  
        int i;  
        for (i = 0; i < n; i++) {  
            tuNodes[i] = new TuNode1(i + 1);  
        }  
        int x;  
        int y;  
        for (i = 0; i < m; i++) {  
            x = scanner.nextInt();  
            y = scanner.nextInt();  
            tuNodes[x - 1].jiedian.add(tuNodes[y - 1]);  
            tuNodes[y - 1].jiedian.add(tuNodes[x - 1]);  
        }  
          
        System.out.println("输入起点和终点");  
        int qiDian=scanner.nextInt();  
        int zhongDian=scanner.nextInt();  
        List<TuNode1> jiHe = new ArrayList<TuNode1>();  
        jiHe.add(tuNodes[qiDian-1]);  
  
        List<TuNode1> list = search(tuNodes[qiDian-1], tuNodes[zhongDian-1], jiHe);  
  
        if (list.size() == 0) {  
            System.out.println("不存在路径");  
        } else {  
            System.out.println(list.size()-1);  
        }  
    }  
  
    public static List<TuNode1> search(TuNode1 qiDian, TuNode1 zhongDian,  
            List<TuNode1> jiHe) {  
        int i;  
  
        List<TuNode1> listTemp1;  
  
        List<TuNode1> listTemp2 = new ArrayList<TuNode1>();  
  
        List<TuNode1> listTemp3 = new ArrayList<TuNode1>();  
  
        for (i = 0; i < qiDian.jiedian.size(); i++) {  
  
            // 将jiHe中的元素赋给listTemp1  
            listTemp1 = new ArrayList<TuNode1>(jiHe);  
  
            // listTemp2中添加当前循环元素  
            listTemp2.add(qiDian.jiedian.get(i));  
  
            // 对listTemp2取listTemp1的交集  
            listTemp2.retainAll(listTemp1);  
  
            if (qiDian.jiedian.get(i).value == zhongDian.value) {  
  
                listTemp1.add(qiDian.jiedian.get(i));  
  
                return listTemp1;  
            } else if (listTemp2.size() == 0) {  
  
                listTemp1.add(qiDian.jiedian.get(i));  
  
                List<TuNode1> listTemp4 = new ArrayList<TuNode1>(listTemp1);  
  
                List<TuNode1> listTemp5 = search(qiDian.jiedian.get(i),  
                        zhongDian, listTemp4);  
                if (listTemp3.size() != 0) {  
                    if (listTemp5.size() < listTemp3.size()  
                            && listTemp5.size() != 0) {  
                        listTemp3 = new ArrayList<TuNode1>(listTemp5);  
                    }  
                } else {  
                    listTemp3 = new ArrayList<TuNode1>(listTemp5);  
                }  
            }  
  
            listTemp2.clear();  
  
        }  
        return listTemp3;  
    }  
}  
  
class TuNode1 {  
    int value;  
    List<TuNode1> jiedian = new ArrayList<TuNode1>();  
  
    public TuNode1(int value) {  
        // TODO Auto-generated constructor stub  
        this.value = value;  
    }  
}  

以下是测试数据
第一行的两个数分别代表节点数和边数

最后一行是求某两个节点间的最短路径

输入数据
7 10
1 2
1 5
1 6
2 6
2 3
2 4
3 4
4 5
4 6
5 6
输入起点和终点
1 3
2

有不好的地方请指出，非常感谢