LoG

The Learning on Graphs conference (LoG) is an annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality. In its inaugural edition, LoG 2022 received 250+ paper submissions, 2,800+ total registrations, and distributed $30,000+ in reviewer awards.


Venue: Duke Kunshan University

The Log 2024 meeting up will take place at Duke Kunshan University:

Duke Kunshan University
Campus Overview
Located in Kunshan, Jiangsu, China

Scientific Steering Committee

Bin Dong

Bin Dong
Peking University

Xiaowen Dong

Hua Xiong Huang
University of Oxford

Huaxiong Huang

Hua Xiong Huang
Duke Kunshan University

Shi Jin

Shi Jin
Shanghai Jiao Tong University

Jianguo Liu

Jianguo Liu
Duke University

Jian Pei

Jian Pei
Duke University

Jian Tang

Jian Tang
Mila-Quebec AI Institute and HEC Montreal

Guowei Wei

Guowei Wei
Michigan State University

Xiaoqun Zhang

Xiaoqun Zhang
Shanghai Jiao Tong University

Schedule

TBD

Plenary Speakers

Shi Jin

Shi Jin
Shanghai Jiao Tong University

Chuan Shi

Chuan Shi
Beijing University of Posts and Telecommunications

Guowei Wei

Guowei Wei
Michigan State University

Zhewei Wei

Zhewei Wei
Renmin University of China

Xiaosheng Zhuang

Xiaosheng Zhuang
City University of Hong Kong

Organizers

Wenbing Huang

Wenbing Huang
Renmin University of China

Yuguang Wang

Yuguang Wang
Shanghai Jiao Tong University

Kelin Xia

Kelin Xia
Nanyang Technological University

Shixin Xu

Shixin Xu
Duke Kunshan University

Dongmian Zou

Dongmian Zou
Duke Kunshan University

Sponsors


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