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@@ -16,11 +16,16 @@ class NodeType(object): |
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class RelationType(object):
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def __init__(self, name, node_type_row, node_type_column,
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adjacency_matrix):
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adjacency_matrix, adjacency_matrix_transposed):
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if adjacency_matrix_transposed.shape != adjacency_matrix.transpose(0, 1).shape:
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raise ValueError('adjacency_matrix_transposed has incorrect shape')
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self.name = name
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self.node_type_row = node_type_row
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self.node_type_column = node_type_column
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self.adjacency_matrix = adjacency_matrix
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self.adjacency_matrix_transposed = adjacency_matrix_transposed
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def get_adjacency_matrix(node_type_row, node_type_column):
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if self.node_type_row == node_type_row and \
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@@ -29,7 +34,10 @@ class RelationType(object): |
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elif self.node_type_row == node_type_column and \
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self.node_type_column == node_type_row:
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return self.adjacency_matrix.transpose(0, 1)
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if self.adjacency_matrix_transposed:
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return self.adjacency_matrix_transposed
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else:
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return self.adjacency_matrix.transpose(0, 1)
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else:
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raise ValueError('Specified row/column types do not correspond to this relation')
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@@ -39,37 +47,27 @@ class Data(object): |
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def __init__(self):
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self.node_types = []
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self.relation_types = defaultdict(list)
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# self.decoder_types = defaultdict(lambda: BilinearDecoder)
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# self.latent_node = []
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def add_node_type(self, name, count): # , latent_length):
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self.node_types.append(NodeType(name, count))
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# self.latent_node.append(init_glorot(count, latent_length))
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def add_relation_type(self, name, node_type_row, node_type_column, adjacency_matrix):
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def add_relation_type(self, name, node_type_row, node_type_column, adjacency_matrix, adjacency_matrix_transposed=None):
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n = len(self.node_types)
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if node_type_row >= n or node_type_column >= n:
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raise ValueError('Node type index out of bounds, add node type first')
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key = (node_type_row, node_type_column)
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if adjacency_matrix is not None and not adjacency_matrix.is_sparse:
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adjacency_matrix = adjacency_matrix.to_sparse()
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self.relation_types[key].append(RelationType(name, node_type_row, node_type_column, adjacency_matrix))
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# _ = self.decoder_types[(node_type_row, node_type_column)]
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#def set_decoder_type(self, node_type_row, node_type_column, decoder_class):
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# if (node_type_row, node_type_column) not in self.decoder_types:
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# raise ValueError('Relation type not found, add relation first')
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# self.decoder_types[(node_type_row, node_type_column)] = decoder_class
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self.relation_types[key].append(RelationType(name, node_type_row, node_type_column, adjacency_matrix, adjacency_matrix_transposed))
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def get_adjacency_matrices(self, node_type_row, node_type_column):
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# rels = list(filter(lambda a: a[0] == node_type_row and a[1] == node_type_column), self.relation_types)
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key = (node_type_row, node_type_column)
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if key not in self.relation_types:
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raise ValueError('Relation type not found')
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rels = self.relation_types[key]
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rels = list(map(lambda a: a.adjacency_matrix, rels))
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return rels
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res = []
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for (i, j), rels in self.relation_types.items():
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if node_type_row not in [i, j] and node_type_column not in [i, j]:
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continue
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for r in rels:
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res.append(r.get_adjacency_matrix(node_type_row, node_type_column))
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return res
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def __repr__(self):
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n = len(self.node_types)
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@@ -91,13 +89,7 @@ class Data(object): |
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if key not in self.relation_types:
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continue
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rels = self.relation_types[key]
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# rels = list(filter(lambda a: a[0] == i and a[1] == j, self.relation_types))
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#if len(rels) == 0:
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# continue
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# dir = '<->' if i == j else '->'
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dir = '--'
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s += ' - ' + self.node_types[i].name + ' ' + dir + ' ' + self.node_types[j].name + ':\n'
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#' (' + self.decoder_types[(i, j)].__name__ + '):\n'
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s += ' - ' + self.node_types[i].name + ' -- ' + self.node_types[j].name + ':\n'
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for r in rels:
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s += ' - ' + r.name + '\n'
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return s.strip()
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