프로필

Thomas Kipf

Staff Research Scientist, Google DeepMind

google.com의 이메일 확인됨

61431회 인용

Machine Learning Graph Representation Learning Graph Neural Networks

Michael Bronstein

DeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA

cs.ox.ac.uk의 이메일 확인됨

47095회 인용

geometric deep learning graph representation learning graph neural networks protein design

William L Hamilton

Assistant Professor of Computer Science, McGill University and Mila

cs.mcgill.ca의 이메일 확인됨

43822회 인용

Machine Learning Graph Representation Learning Natural Language Processing

Yuxiao Dong

CS, Tsinghua University

tsinghua.edu.cn의 이메일 확인됨

22111회 인용

Large Language Models RLHF Reasoning/Agent Graph Representation Learning Data Mining

Michaël Defferrard

Research Scientist, AI Research, Qualcomm

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12751회 인용

graph representation learning graph neural networks machine learning network science graph theory

Ryan A. Rossi

Adobe Research

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12385회 인용

Machine Learning Graph Neural Networks Graph Representation Learning Graph ML Graph Theory

Nesreen K. Ahmed

Principal Scientist, Cisco AI Research, Intel Labs, Purdue University

cisco.com의 이메일 확인됨

10868회 인용

Geometric Deep Learning Graph Representation Learning ML for Systems ML4code

Qin Ma

Professor, Department of Biomedical Informatics, The Ohio State University

osumc.edu의 이메일 확인됨

7906회 인용

Single-cell multi-omics Graph representation learning Biomedical Informatics Immuno-informatics

Alessio Micheli

Department of Computer Science, University of Pisa

di.unipi.it의 이메일 확인됨

7574회 인용

Artificial Intelligence Machine Learning Graph Representation Learning Recurrent Neural Networks Reservoir Computing

Yanqiao ZHU

University of California, Los Angeles

cs.ucla.edu의 이메일 확인됨

6678회 인용

Graph Representation Learning Geometric Deep Learning AI for Science

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