hugegraph-ml/src/hugegraph_ml/examples/dgi_example.py

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from hugegraph_ml.data.hugegraph2dgl import HugeGraph2DGL
from hugegraph_ml.models.dgi import DGI
from hugegraph_ml.models.mlp import MLPClassifier
from hugegraph_ml.tasks.node_classify import NodeClassify
from hugegraph_ml.tasks.node_embed import NodeEmbed


def dgi_example(n_epochs_embed=300, n_epochs_clf=400):
    hg2d = HugeGraph2DGL()
    graph = hg2d.convert_graph(vertex_label="CORA_vertex", edge_label="CORA_edge")
    model = DGI(n_in_feats=graph.ndata["feat"].shape[1])
    node_embed_task = NodeEmbed(graph=graph, model=model)
    embedded_graph = node_embed_task.train_and_embed(add_self_loop=True, n_epochs=n_epochs_embed, patience=30)
    model = MLPClassifier(
        n_in_feat=embedded_graph.ndata["feat"].shape[1], n_out_feat=embedded_graph.ndata["label"].unique().shape[0]
    )
    node_clf_task = NodeClassify(graph=embedded_graph, model=model)
    node_clf_task.train(lr=1e-3, n_epochs=n_epochs_clf, patience=40)
    print(node_clf_task.evaluate())


if __name__ == "__main__":
    dgi_example()