17 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 17 cited
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He, Xavier Bresson, Thomas Laurent +3
Representation learning on text-attributed graphs (TAGs) has become a critical research problem in recent years. A typical example of a TAG is a paper citation graph, where the tex…
cs.LG2021★ 9 cited
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Xiaoxin He, Fuzhao Xue, Xiaozhe Ren +1
Deep learning have achieved promising results on a wide spectrum of AI applications. Larger datasets and models consistently yield better performance. However, we generally spend l…