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

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import torch.nn.functional as F

from hugegraph_ml.data.hugegraph2dgl import HugeGraph2DGL
from hugegraph_ml.models.appnp import APPNP
from hugegraph_ml.tasks.node_classify import NodeClassify


def appnp_example(n_epochs=200):
    hg2d = HugeGraph2DGL()
    graph = hg2d.convert_graph(vertex_label="CORA_vertex", edge_label="CORA_edge")
    model = APPNP(
        in_feats=graph.ndata["feat"].shape[1],
        hiddens=[64],
        n_classes=graph.ndata["label"].unique().shape[0],
        activation=F.relu,
        feat_drop=0.5,
        edge_drop=0.5,
        alpha=0.1,
        k=10,
    )
    node_clf_task = NodeClassify(graph, model)
    node_clf_task.train(lr=0.005, weight_decay=0.0005, n_epochs=n_epochs, patience=200)
    print(node_clf_task.evaluate())


if __name__ == "__main__":
    appnp_example()