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CogDL: A Comprehensive Library for Graph Deep Learning

CogDL: A Comprehensive Library for Graph Deep Learning

1 March 2021
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
Zhongming Yu
Hengrui Zhang
Xingcheng Yao
Aohan Zeng
Shiguang Guo
Yuxiao Dong
Yang Yang
Peng-Zhen Zhang
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
    GNN
    AI4CE
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Papers citing "CogDL: A Comprehensive Library for Graph Deep Learning"

4 / 4 papers shown
Title
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation
Shabalin Carmel
Shenkman Israel
Shelef Ilan
Ben-Arie Gal
Alex Geftler
Shahar Yuval
MedIm
28
0
0
03 Jan 2025
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
907
0
02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
184
731
0
03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
1