How to use the cogdl.datasets.matlab_matrix.MatlabMatrix function in cogdl

url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)


@register_dataset("ppi")
class PPIDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "ppi", "Homo_sapiens"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(PPIDataset, self).__init__(path, filename, url)

url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)


@register_dataset("ppi")
class PPIDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "ppi", "Homo_sapiens"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(PPIDataset, self).__init__(path, filename, url)

data = Data(edge_index=edge_index, edge_attr=edge_attr, x=None, y=y)

        torch.save(data, self.processed_paths[0])


@register_dataset("blogcatalog")
class BlogcatalogDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "blogcatalog", "blogcatalog"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)

def __init__(self, root, name, url):
        self.name = name
        self.url = url
        super(MatlabMatrix, self).__init__(root)
        self.data = torch.load(self.processed_paths[0])

def __init__(self, root, name, url):
        self.name = name
        self.url = url
        super(MatlabMatrix, self).__init__(root)
        with open(self.processed_paths[0], 'rb') as input:
            self.data = pickle.load(input)

url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)


@register_dataset("ppi")
class PPIDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "ppi", "Homo_sapiens"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(PPIDataset, self).__init__(path, filename, url)

smat = scipy.io.loadmat(path)
        adj_matrix, group = smat["network"], smat["group"]

        y = torch.from_numpy(group.todense()).to(torch.float)

        row_ind, col_ind = adj_matrix.nonzero()
        edge_index = torch.stack([torch.tensor(row_ind), torch.tensor(col_ind)], dim=0)
        edge_attr = torch.tensor(adj_matrix[row_ind, col_ind])

        data = Data(edge_index=edge_index, edge_attr=edge_attr, x=None, y=y)

        torch.save(data, self.processed_paths[0])


@register_dataset("blogcatalog")
class BlogcatalogDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "blogcatalog", "blogcatalog"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)

with open(self.processed_paths[0], 'wb') as output:
            pickle.dump(data, output, pickle.HIGHEST_PROTOCOL)


@register_dataset("blogcatalog")
class BlogcatalogDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "blogcatalog", "blogcatalog"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)

url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)


@register_dataset("wikipedia")
class WikipediaDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "wikipedia", "POS"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(WikipediaDataset, self).__init__(path, filename, url)


@register_dataset("ppi")
class PPIDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "ppi", "Homo_sapiens"
        url = "http://snap.stanford.edu/node2vec/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(PPIDataset, self).__init__(path, filename, url)

adj_matrix, group = smat["network"], smat["group"]

        y = tf.convert_to_tensor(group.todense(), np.float32)

        row_ind, col_ind = adj_matrix.nonzero()
        edge_index = tf.stack([tf.convert_to_tensor(row_ind), tf.convert_to_tensor(col_ind)])
        edge_attr = tf.convert_to_tensor(adj_matrix[row_ind, col_ind])

        data = Data(edge_index=edge_index, edge_attr=edge_attr, x=None, y=y)
        
        with open(self.processed_paths[0], 'wb') as output:
            pickle.dump(data, output, pickle.HIGHEST_PROTOCOL)


@register_dataset("blogcatalog")
class BlogcatalogDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "blogcatalog", "blogcatalog"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(BlogcatalogDataset, self).__init__(path, filename, url)


@register_dataset("flickr")
class FlickrDataset(MatlabMatrix):
    def __init__(self):
        dataset, filename = "flickr", "flickr"
        url = "http://leitang.net/code/social-dimension/data/"
        path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
        super(FlickrDataset, self).__init__(path, filename, url)