16 citations · 41 across the 23 of their papers we have counts for
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cs.LG2024★ 4 cited
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Junxian Li, Di Zhang, Xunzhi Wang +16
Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the…
cs.LG2024★ 1 cited
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li, Bin Shi, Erfei Cui +2
We study the challenging problem for inference tasks on large-scale graph datasets of Graph Neural Networks: huge time and memory consumption, and try to overcome it by reducing re…