| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| |
| import unittest |
| |
| from hugegraph_ml.data.hugegraph2dgl import HugeGraph2DGL |
| from hugegraph_ml.models.dgi import DGI |
| from hugegraph_ml.tasks.node_embed import NodeEmbed |
| |
| |
| class TestNodeEmbed(unittest.TestCase): |
| def setUp(self): |
| self.hg2d = HugeGraph2DGL() |
| self.graph = self.hg2d.convert_graph(vertex_label="CORA_vertex", edge_label="CORA_edge") |
| self.embed_size = 512 |
| |
| def test_check_graph(self): |
| try: |
| NodeEmbed( |
| graph=self.graph, |
| model=DGI(n_in_feats=self.graph.ndata["feat"].shape[1], n_hidden=self.embed_size), |
| ) |
| except ValueError as e: |
| self.fail(f"_check_graph failed: {e!s}") |
| |
| def test_train_and_embed(self): |
| node_embed_task = NodeEmbed( |
| graph=self.graph, |
| model=DGI(n_in_feats=self.graph.ndata["feat"].shape[1], n_hidden=self.embed_size), |
| ) |
| self.graph = node_embed_task.train_and_embed(n_epochs=5, patience=5) |
| embed_feat_dim = self.graph.ndata["feat"].shape[1] |
| self.assertEqual( |
| embed_feat_dim, |
| self.embed_size, |
| f"Expected node feature dimension {self.embed_size}, but got {embed_feat_dim}.", |
| ) |