Papers with prediction framework

1 papers
LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction (2025.emnlp-main)

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Challenge: Current methods focus on 1-hop neighborhood aggregation, lacking capability to capture complex structural interactions.
Approach: They propose a framework that integrates structural information into attribute embeddings through an attribute embedded loss.
Outcome: The proposed framework shows significant improvements over existing methods on real-world datasets.

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