output
20082026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations

Showing 2023 · cs.LGShow all

5 papers · 2 filters

cs.LG2023★ 22 cited

Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation

Yue Wan, Jialu Wu, Tingjun Hou +2

Reliable molecular property prediction is essential for various scientific endeavors and industrial applications, such as drug discovery. However, the data scarcity, combined with…

cs.LG2023★ 6 cited

Graph Neural Architecture Search with GPT-4

Haishuai Wang, Yang Gao, Xin Zheng +3

Graph Neural Architecture Search (GNAS) has shown promising results in finding the best graph neural network architecture on a given graph dataset. However, existing GNAS methods s…

cs.LG2023★ 25 cited

Graph Neural Processes for Spatio-Temporal Extrapolation

Junfeng Hu, Yuxuan Liang, Zhencheng Fan +3

We study the task of spatio-temporal extrapolation that generates data at target locations from surrounding contexts in a graph. This task is crucial as sensors that collect data a…

cs.LG2023★ 19 cited

Interpretable machine learning-accelerated seed treatment by nanomaterials for environmental stress alleviation

Hengjie Yu, Dan Luo, Sam F. Y. Li +4

Crops are constantly challenged by different environmental conditions. Seed treatment by nanomaterials is a cost-effective and environmentally-friendly solution for environmental s…

cs.LG2023★ 26 cited

Discriminative Radial Domain Adaptation

Zenan Huang, Jun Wen, Siheng Chen +2

Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain ad…