arXiv AI
An Analysis of Role Semantics in Directed Dynamic Graph Modeling for Edge Classification
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Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context
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Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs
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TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
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What Do Temporal Graph Learning Models Learn?
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