'tag of current node'?

[mmpust]

Hi,
many thanks for the PyTorch implementation of the DGCNN.

Do you have a python implementation (instead of the Matlab script) to generate the input text file from the individual text files (_graph_labels.txt, _graph_indicator.txt, _A.txt)? I am not familiar with Matlab. What is this following line in the script doing? What is the equivalent in python code?
A = spones(sparse(edges(:,1), edges(:,2), edge_attr(:,1), num_nodes, num_nodes))

Also, what do you mean by 'tag of current node'? Why are there for example 14 rows with 'node tag'=2 but different number of neigbors in the following example of yours?

188 # total number of graphs
23 2 # number of nodes in the first graph (23), graph label of first graph (2)
2 2 1 13 # tag of current node (2), number of neighbors (2), index first neighbor (1), index second neighbor (13)
2 2 0 2
2 3 1 3 11
2 2 2 4
2 2 3 5
2 3 4 6 10
2 3 5 7 20
2 2 6 8
2 2 7 9
2 3 8 10 15
2 3 5 9 11
2 3 2 10 12
2 3 11 13 14
2 2 0 12

Thanks,
Marie

[muhanzhang]

Hi! I don't have a python script, but it should not be difficult to write one based on the MATLAB script. The line you point to calls the sparse function in MATLAB to create a num_nodes * num_nodes sparse matrix, with edges(:,1), edges(:,2) as (row, col) indices and edge_attr(:,1) as values in the corresponding entries. See https://www.mathworks.com/help/matlab/ref/sparse.html?searchHighlight=sparse&s_tid=srchtitle_sparse_1. Then the spones function transforms the nonzero values into 1.

The node tag here means the node label/type. So there may be multiple nodes with the same type. The second column means number of neighbors of this node, and the following numbers record the indices of these neighbor nodes.

[mmpust]

Thanks Muhan!