Create a n*n grid undirected graph

Hi all, I can't figure out how I can solve this problem. I'm working with undirected graph in matlab. I created graph with 15 nodes with this code:

s = [1 1 1 2 2 2 2 3 3 3 3 4 4 4 4 4 5 5 5 6 8 10 2 11 7 8 10 13 10 11 13 15];
t = [2 6 7 3 6 7 8 4 7 8 9 5 8 9 10 13 9 10 11 14 13 11 14 12 9 14 13 15 15 15 14 12];
G = graph(s,t);

I now need to create a graph with 100 nodes in a grid shape. Something like the picture below:

Whit this code:

grid=reshape(1:100,10,10)';
grid =

     1     2     3     4     5     6     7     8     9    10
    11    12    13    14    15    16    17    18    19    20
    21    22    23    24    25    26    27    28    29    30
    31    32    33    34    35    36    37    38    39    40
    41    42    43    44    45    46    47    48    49    50
    51    52    53    54    55    56    57    58    59    60
    61    62    63    64    65    66    67    68    69    70
    71    72    73    74    75    76    77    78    79    80
    81    82    83    84    85    86    87    88    89    90
    91    92    93    94    95    96    97    98    99   100

I'm able to create a grid of number but how can I trasform this into a graph like the previous pictures?

Answer 1

[KSSV]

[x,y] = meshgrid(1:10) ;
dt = delaunayTriangulation(x(:),y(:)) ;
triplot(dt)

[ANDREA DI MARTINO]

I solved using this add on: https://blogs.mathworks.com/steve/2015/12/14/image-based-graphs/ . I create a graph in this way:

G = imageGraph([10 10],8);
G.Nodes = removevars(G.Nodes,{'PixelIndex'});
plot(G);

and I obtain this:

I'm going to add wheights and other usefull infos.

[ANDREA DI MARTINO]

Yeah. I don't write here the construction of the weights to avoid boring stuff, but in the end i simply do this:

n = length(G.Nodes.x);
for i = 1:n
    G.Edges.Weight(i) = weights(i);
end 
p = plot(G,'MarkerSize',10,'LineWidth',2,'EdgeLabel',G.Edges.Weight,'EdgeFontSize',5);