(tensor, non_linearity, i)

(features, r, nr)

(self, model, mask, features, labels)

(self, model, mask, features, labels, Adj)

(self, model, features, mask, ogb, noise, loss_t)

(self, val_mask, train_mask)

(args)

(X, k, metric)

(self, validation_accu, test_accu)

(self, input_size)

(self, nlayers, isize, hsize, osize, mlp_epochs, k, knn_metric, non_linearity, i, sparse, mlp_act)

(self, in_channels, hidden_channels, out_channels, num_layers, dropout, dropout_adj, Adj, sparse)

(preds, labels)

(node_embeddings)

(features, r)

(self, h)

(self, h)

(X, k, b)

(adj, mode, sparse=False)

(raw_graph, K)

(self, Adj, features, nfeats, labels, nclasses, train_mask, val_mask, test_mask, args)

(self, features)

(self, h)

(dataset_str)

(dataset_str)

(self)

(X, k, metric, i)

(X, k, metric, i)

(adj)

(self, args)

(self, args)

(self, args)

(self, input_size, output_size)

(self, input_size, output_size)

(self, features, non_linearity, k, knn_metric, i, sparse)

(self, nlayers, isize, k, knn_metric, non_linearity, i, sparse, mlp_act)

(self)

(self, nlayers, in_dim, hidden_dim, nclasses, dropout, dropout_adj, features, k, knn_metric, i_,

(self, in_channels, hidden_channels, out_channels, num_layers, dropout, dropout_adj, sparse)

(self, input, A, sparse=False)

(self, x, g)

(self, input)

(self, h)

(self, features)

(self, features, x)

(self, x)

(self, x, adj_t)

(self, model, features, feat_ind)

(self)

(X, k, metric)