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2011.01623
Cited By
Learning on Attribute-Missing Graphs
3 November 2020
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya Zhang
Ivor W Tsang
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Papers citing
"Learning on Attribute-Missing Graphs"
38 / 38 papers shown
Bi-View Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data
Rosario Napoli
Giovanni Lonia
Antonio Celesti
M. Villari
M. Fazio
143
0
0
17 Nov 2025
On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
Baskaran Sripathmanathan
Xiaowen Dong
M. Bronstein
206
0
0
13 Sep 2025
Clustering-Oriented Generative Attribute Graph Imputation
Mulin. Chen
Bocheng Wang
Jiaxin Zhong
Zongcheng Miao
Xuelong Li
213
2
0
25 Jul 2025
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Yaowen Hu
Wenxuan Tu
Yue Liu
Miaomiao Li
Wenpeng Lu
Zhigang Luo
Xinwang Liu
Ping Chen
296
0
0
12 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu
Wenxuan Tu
Yue Liu
Xinhang Wan
Junyi Yan
Taichun Zhou
Xinwang Liu
336
1
0
09 Jul 2025
A Survey of Large Language Models for Data Challenges in Graphs
Mengran Li
Pengyu Zhang
Wenbin Xing
Yijia Zheng
Klim Zaporojets
...
Jia Hu
Xiaolei Ma
Zhiyuan Liu
Paul Groth
Marcel Worring
AI4CE
504
0
0
24 May 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things
IEEE Internet of Things Journal (IEEE IoT J.), 2025
Mengran Li
Junzhou Chen
Chenyun Yu
Guanying Jiang
Ronghui Zhang
Yanming Shen
Houbing Song
383
6
0
20 Jan 2025
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
Peng Yuan
Peng Tang
303
1
0
09 Aug 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
513
3
0
25 Jul 2024
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
S. S. Shuvo
Ali Aghdaei
Zhuo Feng
374
0
0
15 Jun 2024
Reproducibility study of FairAC
Gijs de Jong
Macha J. Meijer
Mark Bodracska
Harold Ruiter
402
1
0
05 Jun 2024
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition
Haozhe Cheng
Chen Ju
Haicheng Wang
Jinxiang Liu
Mengting Chen
Qiang Hu
Xiaoyun Zhang
Yanfeng Wang
DiffM
VLM
266
8
0
23 Apr 2024
Fair Graph Machine Learning under Adversarial Missingness Processes
Debolina Halder Lina
Arlei Silva
556
0
0
02 Nov 2023
Data-centric Graph Learning: A Survey
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
410
35
0
08 Oct 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Neural Information Processing Systems (NeurIPS), 2023
Cong Xu
Jun Wang
Jianyong Wang
Wei Zhang
GNN
269
3
0
24 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng
Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
Alan Wee-Chung Liew
Shirui Pan
GNN
AI4CE
324
24
0
20 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Victor M. Tenorio
Madeline Navarro
Santiago Segarra
Antonio G. Marques
222
6
0
16 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
Industrial Conference on Data Mining (IDM), 2023
Sichao Fu
Qinmu Peng
Yang He
Baokun Du
Xinge You
196
7
0
06 Sep 2023
Learning Strong Graph Neural Networks with Weak Information
Knowledge Discovery and Data Mining (KDD), 2023
Yixin Liu
Kaize Ding
Jianling Wang
V. Lee
Huan Liu
Shirui Pan
240
63
0
29 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features
International Conference on Learning Representations (ICLR), 2023
Daeho Um
Jiwoong Park
Seulki Park
Hawook Jeong
DiffM
404
27
0
26 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
International Conference on Learning Representations (ICLR), 2023
Federico Errica
Mathias Niepert
TPM
295
6
0
17 May 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
Xiaochuan Zhang
Mengran Li
Ye Wang
Haojun Fei
183
4
0
05 May 2023
Fair Attribute Completion on Graph with Missing Attributes
International Conference on Learning Representations (ICLR), 2023
Dongliang Guo
Zhixuan Chu
Sheng Li
FaML
308
26
0
25 Feb 2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Chengxiang Lei
Sichao Fu
Yuetian Wang
Wen-Qiang Qiu
Yachen Hu
Qinmu Peng
Xinge You
251
5
0
16 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Wenxuan Tu
Bin Xiao
Xinwang Liu
Sihang Zhou
Zhiping Cai
Jieren Cheng
245
21
0
15 Feb 2023
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Cuiying Huo
Di Jin
Yawen Li
Dongxiao He
Yubin Yang
Lingfei Wu
182
72
0
24 Dec 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Yue Liu
Jun Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
347
45
0
23 Nov 2022
EGG-GAE: scalable graph neural networks for tabular data imputation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lev Telyatnikov
Simone Scardapane
GNN
208
17
0
19 Oct 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
Knowledge Discovery and Data Mining (KDD), 2022
Jaemin Yoo
Hyunsik Jeon
Jinhong Jung
U. Kang
BDL
186
37
0
09 Jun 2022
Discovering Representative Attribute-stars via Minimum Description Length
IEEE International Conference on Data Engineering (ICDE), 2022
Jiahong Liu
Min Zhou
Philippe Fournier-Viger
Menglin Yang
Lujia Pan
M. Nouioua
205
9
0
27 Apr 2022
Data Augmentation for Deep Graph Learning: A Survey
SIGKDD Explorations (SIGKDD Explor.), 2022
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
386
279
0
16 Feb 2022
Siamese Attribute-missing Graph Auto-encoder
Wenxuan Tu
Sihang Zhou
Yue Liu
Xinwang Liu
212
8
0
09 Dec 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi
Henry Kenlay
Maria I. Gorinova
B. Chamberlain
Xiaowen Dong
M. Bronstein
299
137
0
23 Nov 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
393
105
0
03 Jul 2021
Wasserstein Graph Neural Networks for Graphs with Missing Attributes
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zhi-Xing Chen
Tengfei Ma
Yangqiu Song
Yangkun Wang
GNN
388
4
0
06 Feb 2021
Graph Cross Networks with Vertex Infomax Pooling
Neural Information Processing Systems (NeurIPS), 2020
Maosen Li
Siheng Chen
Ya Zhang
Ivor W. Tsang
319
70
0
05 Oct 2020
Incomplete Graph Representation and Learning via Partial Graph Neural Networks
Bo Jiang
Ziyan Zhang
AI4CE
GNN
305
27
0
23 Mar 2020
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
1.5K
5,156
0
17 Feb 2017
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