AI RESEARCH
Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models
arXiv CS.AI
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ArXi:2604.09085v1 Announce Type: cross Large-scale digital platforms generate billions of timestamped user-item interactions (events) that are crucial for predicting user attributes in, e.g., fraud prevention and recommendations. While self-supervised learning (SSL) effectively models the temporal order of events, it typically overlooks the global structure of the user-item interaction graph.