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Kijung Shin
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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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 …
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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 …