Line too long (122 > 79 characters):
50 self.central_node_edge_encoder = central_encoder(kwargs['edge_embedding'], d_ef, extend=kwargs['extend_dims'])Line too long (122 > 79 characters):
55 self.central_node_id_encoder = central_encoder(kwargs['id_embedding'], d_id, extend=kwargs['extend_dims'])Line too long (103 > 79 characters):
70 msg_input_dim = 2 * d_in + d_id + d_ef if id_scope == 'local' else 2 * (d_in + d_id) + d_efLine too long (83 > 79 characters):
72 self.msg_fn = mlp(msg_input_dim, d_msg, d_h, seed, activation_name, bn)Line too long (97 > 79 characters):
76 raise NotImplementedError('msg kind {} is not currently supported.'.format(msg_kind))Line too long (85 > 79 characters):
78 self.update_fn = mlp( update_input_dim, d_up, d_h, seed, activation_name, bn)Line too long (80 > 79 characters):
88 x = torch.cat([x, degrees], -1) if self.retain_features else degreesLine too long (98 > 79 characters):
91 edge_features = edge_features.unsqueeze(-1) if edge_features.dim() == 1 else edge_featuresLine too long (100 > 79 characters):
97 edge_features_ii, edge_features = self.central_node_edge_encoder(edge_features, n_nodes)Line too long (96 > 79 characters):
102 identifiers_ii, identifiers = self.central_node_id_encoder(identifiers, n_nodes)Line too long (98 > 79 characters):
106 out = self.update_fn((1 + self.eps) * self_msg + self.propagate(edge_index=edge_index,Line too long (80 > 79 characters):
107 x=x,Line too long (100 > 79 characters):
108 identifiers=identifiers,Line too long (105 > 79 characters):
109 edge_features=edge_features))Line too long (88 > 79 characters):
112 out = self.update_fn(torch.cat((x, self.propagate(edge_index=edge_index,Line too long (90 > 79 characters):
114 identifiers=identifiers,Line too long (101 > 79 characters):
115 edge_features=edge_features)), -1))Line too long (85 > 79 characters):
124 edge_index_i, edge_index_j = edge_index[select, :], edge_index[1 - select, :]Line too long (101 > 79 characters):
132 identifiers_i, identifiers_j = identifiers[edge_index_i, :], identifiers[edge_index_j, :]Line too long (98 > 79 characters):
135 msgs = self.message(x_i, x_j, identifiers_i, identifiers_j, identifiers_ij, edge_features)Line too long (104 > 79 characters):
136 msgs = torch.sparse.FloatTensor(edge_index, msgs, torch.Size([n_nodes, n_nodes, msgs.shape[1]]))Line too long (106 > 79 characters):
148 raise NotImplementedError("Aggregation kind {} is not currently supported.".format(self.aggr))Line too long (93 > 79 characters):
152 def message(self, x_i, x_j, identifiers_i, identifiers_j, identifiers_ij, edge_features):Line too long (94 > 79 characters):
162 msg_j = torch.cat((x_i, x_j, identifiers_i, identifiers_j, edge_features), -1)Line too long (80 > 79 characters):
164 msg_j = torch.cat((x_i, x_j, identifiers_ij, edge_features), -1)Line too long (106 > 79 characters):
168 raise NotImplementedError("Message kind {} is not currently supported.".format(self.msg_kind))Line too long (109 > 79 characters):
173 return '{}(msg_fn = {}, update_fn = {})'.format(self.__class__.__name__, self.msg_fn, self.update_fn)