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.


Scientific Steering Committee

Bin Dong

Bin Dong
Peking University

Huaxiong Huang

Hua Xiong Huang
Duke Kunshan University

Shi Jin

Shi Jin
Shanghai Jiao Tong University

Guowei Wei

Guowei Wei
Michigan State University

Jian Pei

Jian Pei
Duke University

Jianguo Liu

Jianguo Liu
Duke University

Jian Tang

Jian Tang
Mila-Quebec AI Institute and HEC Montreal

Xiaoqun Zhang

Xiaoqun Zhang
Shanghai Jiao Tong University

Schedule

TBD

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


sponsor

sponsor