LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke, Qi Meng, Thomas Finley, +5

HAL (Le Centre pour la Communication Scientifique Directe)

Artificial IntelligenceEngineeringMachine LearningSmall GradientsMachine Learning Tool +17

Deep Subdomain Adaptation Network for Image Classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, +5

IEEE Transactions on Neural Networks and Learning Systems

Do Transformers Really Perform Badly for Graph Representation

Chengxuan Ying, Tianle Cai, Shengjie Luo, +5

Neural Information Processing Systems

EngineeringGraph TheoryData SciencePerform BadlyNetwork Analysis +3

Uni-Mol: A Universal 3D Molecular Representation Learning Framework

Gengmo Zhou, Zhifeng Gao, Qiankun Ding, +5

EngineeringMolecular Representation LearningMolecular PropertyComputational BiologyMolecular Biology +13

DeepGBM

Guolin Ke, Zhenhui Xu, Jia Zhang, +2

Online PredictionIncremental LearningEngineeringMachine LearningData Science +10

Rethinking Positional Encoding in Language Pre-training

Guolin Ke, Di He, Tie‐Yan Liu

International Conference on Learning Representations

Llm Fine-tuningEngineeringCross-lingual RepresentationPsycholinguisticsMultilingual Pretraining +17

Do Transformers Really Perform Bad for Graph Representation?

Chengxuan Ying, Tianle Cai, Shengjie Luo, +5

arXiv (Cornell University)

Natural Language ProcessingGeometric LearningStructural InformationGraph Representation LearningGraph Theory +13

A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke, Qi Meng, Taifeng Wang, +3

Neural Information Processing Systems

Artificial IntelligenceEngineeringMachine LearningSmall GradientsFeature Selection +17

DPA-2: a large atomic model as a multi-task learner

Duo Zhang, Xinzijian Liu, Xiangyu Zhang, +39

npj Computational Materials

A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks

Jingqi Wang, Jiapeng Liu, Hongshuai Wang, +6

Nature Communications