[BUG]

[DanyueZhi]

Describe the bug Nodes are missing after sampling graph nodes without duplicates.

To Reproduce Steps to reproduce the behavior:

1. Loading data for heterogeneous graph.
2. Neighborhood query for user nodes of heterogeneous graph using “Query” function, then feature stitching using function. And then we get “train_loader”.
3. Load the weights of the trained embedding model and perform the embedding operation on the “train_loader” based on all user nodes.
4. Outputs the “inputs”,“emb”, and “outputs” of the embedding model.

Expected behavior The number of user nodes in the “inputs”, “emb”, and “outputs” of the embedding model should be the same as in the original graph.

Screenshots

Environment (please complete the following information):

• GraphScope version: [e.g., v0.25]
• OS: [e.g. Linux]
• Version [Ubuntu 22.04（Jammy Jellyfish）]
• Kubernetes Version [e.g., v3.3.0]

Additional context The missing 5 user nodes have neighbors and are not duplicate nodes

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