35 citations · 38 across the 10 of their papers we have counts for
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cs.LG2026
Tracing Morphology, Semantics, and Divergence in Language Acquisition
Forough Shirin Abkenar, Haoshuo Fu, Liang Feng +2
Understanding the dynamics of language acquisition in Large Language Models (LLMs) is crucial for uncovering how statistical representations evolve into structured linguistic capab…
cs.LG2025
LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs
Amit Roy, Ning Yan, Masood Mortazavi
Dynamic Text-Attributed Graphs (DyTAGs) have numerous real-world applications, e.g. social, collaboration, citation, communication, and review networks. In these networks, nodes an…
cs.LG2023★ 35 cited
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
Yihong Ma, Ning Yan, Jiayu Li +2
Graphs have emerged as a natural choice to represent and analyze the intricate patterns and rich information of the Web, enabling applications such as online page classification an…