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Dissecting the Diffusion Process in Linear Graph Convolutional Networks
22 February 2021
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
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Papers citing
"Dissecting the Diffusion Process in Linear Graph Convolutional Networks"
7 / 7 papers shown
Title
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
So Yeon Kim
Sehee Wang
Eun Kyung Choe
16
0
0
05 Mar 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
28
2
0
27 Dec 2023
Reconstructing Graph Diffusion History from a Single Snapshot
Ruizhong Qiu
Dingsu Wang
Lei Ying
H. Vincent Poor
Yifang Zhang
Hanghang Tong
DiffM
6
6
0
01 Jun 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion
Dai Shi
Zhiqi Shao
Yi Guo
Qianchuan Zhao
Junbin Gao
22
1
0
25 May 2023
Climate Modeling with Neural Diffusion Equations
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
14
22
0
11 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
16
61
0
08 Nov 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
226
1,726
0
09 Jun 2018
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