3 citations · 10 across the 7 of their papers we have counts for
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cs.LG2023★ 3 cited
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Weitao Du, Jiujiu Chen, Xuecang Zhang +2
Recently, artificial intelligence for drug discovery has raised increasing interest in both machine learning and chemistry domains. The fundamental building block for drug discover…
cs.AI2023★ 3 cited
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Shengyin Sun, Yuxiang Ren, Jiehao Chen +1
The latest advancements in large language models (LLMs) have revolutionized the field of natural language processing (NLP). Inspired by the success of LLMs in NLP tasks, some recen…
cs.LG2023★ 3 cited
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
Jianxiang Yu, Yuxiang Ren, Chenghua Gong +3
Text-attributed graphs have recently garnered significant attention due to their wide range of applications in web domains. Existing methodologies employ word embedding models for…