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Kijung Shin

ورقتان في مجموعة PaperMetrix

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  1. Post-Training Embedding Enhancement for Long-Tail Recommendation

    2024

    Item popularity in real-world data follows a long-tail distribution, where a few items attract most of the attention, while the majority receive much less. This disparity results in high-quality embeddings for popular (head) items, but …

  2. Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts

    2025 · arXiv (Cornell University)

    The problem of predicting node properties (e.g., node classes) in graphs has received significant attention due to its broad range of applications. Graphs from real-world datasets often evolve over time, with newly emerging edges and …