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@ -126,7 +126,8 @@ class layer: |
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#K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) |
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#D = np.diag(np.diag(K)) |
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K = self.adj_matr.sum(0) |
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D = K * eye(self.N) |
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D = csr_matrix((self.N, self.N)) |
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D.setdiag(eye(self.N) * K.transpose()) |
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self.laplacian = csr_matrix(D - self.adj_matr) |
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K = self.laplacian.diagonal().sum() |
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self.resc_laplacian = csr_matrix(self.laplacian / K) |
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@ -140,7 +141,8 @@ class layer: |
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#K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) |
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#D = np.diag(np.diag(K)) |
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K = self.adj_matr.sum(0) |
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D = K * eye(self.N) |
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D = csr_matrix((self.N, self.N)) |
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D.setdiag(eye(self.N) * K.transpose()) |
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self.laplacian = csr_matrix(D - self.adj_matr) |
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K = self.laplacian.diagonal().sum() |
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self.resc_laplacian = csr_matrix(self.laplacian / K) |
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@ -178,13 +180,15 @@ class layer: |
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#K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) |
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#D = np.diag(np.diag(K)) |
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K = self.adj_matr.sum(0) |
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D = K * eye(self.N) |
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D = csr_matrix((self.N, self.N)) |
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D.setdiag(eye(self.N) * K. transpose()) |
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self.laplacian = csr_matrix(D - self.adj_matr) |
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K = self.laplacian.diagonal().sum() |
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self.resc_laplacian = csr_matrix(self.laplacian / K) |
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self._matrix_called = True |
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def dump_laplacian(self): |
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print self.laplacian |
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class multiplex_red: |
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