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Non-IID Transfer Learning on Graphs
v1v2 (latest)

Non-IID Transfer Learning on Graphs

15 December 2022
Jun Wu
Jingrui He
Elizabeth Ainsworth
    OOD
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
f-Domain-Adversarial Learning: Theory and Algorithms
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
FedMLAI4CE
64
62
0
21 Jun 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
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
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
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSLAI4CE
158
564
0
27 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
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
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
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
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
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
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
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
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
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
116
1,415
0
29 May 2019
Bridging Theory and Algorithm for Domain Adaptation
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
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
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?
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
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
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
88
411
0
18 Apr 2018
Graph Attention Networks
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
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
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
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
657
29,154
0
09 Sep 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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
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
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
390
9,515
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
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
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
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
301
801
0
19 Feb 2009
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