20 citations · 50 across the 9 of their papers we have counts for
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cs.LG2023★ 14 cited
Can Large Language Models Empower Molecular Property Prediction?
Chen Qian, Huayi Tang, Zhirui Yang +2
Molecular property prediction has gained significant attention due to its transformative potential in multiple scientific disciplines. Conventionally, a molecule graph can be repre…
cs.LG2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Jun Chen, Shipeng Bai, Tianxin Huang +3
Neural network quantization is a very promising solution in the field of model compression, but its resulting accuracy highly depends on a training/fine-tuning process and requires…
cs.LG2023★ 2 cited
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang, Yong Liu
Graph neural networks (GNNs) are the most widely adopted model in graph-structured data oriented learning and representation. Despite their extraordinary success in real-world appl…