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2212.08174
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Non-IID Transfer Learning on Graphs
15 December 2022
Jun Wu
Jingrui He
Elizabeth Ainsworth
OOD
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Papers citing
"Non-IID Transfer Learning on Graphs"
35 / 35 papers shown
Title
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
240
2
0
05 Feb 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
133
5
0
25 Oct 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
73
1
0
13 Sep 2024
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Jun Wu
Jingrui He
CLL
75
7
0
05 Jul 2022
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
Yao Zhou
Haonan Wang
Jingrui He
Haixun Wang
64
15
0
28 Oct 2021
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
108
57
0
19 Jul 2021
f-Domain-Adversarial Learning: Theory and Algorithms
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
FedML
AI4CE
64
62
0
21 Jun 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
103
120
0
11 Sep 2020
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
124
1,496
0
04 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSL
AI4CE
158
564
0
27 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
229
960
0
17 Jun 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
73
147
0
05 Jun 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
77
38
0
06 Apr 2020
Adversarial Deep Network Embedding for Cross-network Node Classification
X. Shen
Quanyu Dai
K. F. Chung
Wei Lu
K. Choi
58
83
0
18 Feb 2020
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
P. Li
Alexander Tuzhilin
91
269
0
11 Oct 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
67
93
0
04 Sep 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu
Jingrui He
Jiejun Xu
GNN
161
198
0
05 Jun 2019
DANE: Domain Adaptive Network Embedding
Yizhou Zhang
Guojie Song
Lun Du
Shuwen Yang
Yilun Jin
OOD
65
78
0
03 Jun 2019
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
116
1,415
0
29 May 2019
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
83
713
0
11 Apr 2019
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
244
3,182
0
19 Feb 2019
On the Transferability of Spectral Graph Filters
Ron Levie
Elvin Isufi
Gitta Kutyniok
66
64
0
29 Jan 2019
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
518
1,990
0
09 Jun 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
88
411
0
18 Apr 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro
Pedro H. P. Saverese
Daniel R. Figueiredo
72
1,164
0
11 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
657
29,154
0
09 Sep 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,165
0
06 Jul 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
154
2,066
0
04 Feb 2016
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
390
9,515
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
152
5,734
0
09 May 2012
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
301
801
0
19 Feb 2009
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