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Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.48550/arxiv.1606.03657openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2010.05421openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2108.13624openalex-snapshot
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WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
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inferredcites →https://doi.org/10.48550/arxiv.2209.07027openalex-snapshot
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Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
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DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM
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Stabilizing Stability and Plasticity in Graph-based Continual Recommender System
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Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation
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A Survey of Causal Learning in Graph-Based Recommender Systems
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