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2007.04583
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Graph Convolutional Networks for Graphs Containing Missing Features
Future generations computer systems (FGCS), 2020
9 July 2020
Hibiki Taguchi
Xin Liu
T. Murata
GNN
Re-assign community
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Papers citing
"Graph Convolutional Networks for Graphs Containing Missing Features"
39 / 39 papers shown
FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
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Pinheng Zong
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Multi-View Graph Feature Propagation for Privacy Preservation and Feature Sparsity
Etzion Harari
Moshe Unger
143
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0
13 Oct 2025
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
Zhaoyan Wang
Zheng Gao
Arogya Kharel
In-Young Ko
152
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0
02 Oct 2025
On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
Baskaran Sripathmanathan
Xiaowen Dong
M. Bronstein
207
0
0
13 Sep 2025
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
Shekhnaz Idrissova
Islem Rekik
302
0
0
13 Aug 2025
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
Sukwon Yun
Xin Liu
Yunhak Oh
Junseok Lee
Tianlong Chen
Tsuyoshi Murata
Chanyoung Park
70
0
0
02 Aug 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
301
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
339
1
0
09 Jul 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Michela Lapenna
Caterina De Bacco
485
1
0
13 Jun 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
390
6
0
20 Jan 2025
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
Xindi Zheng
Yuwei Wu
Yu Pan
Wanyu Lin
Lei Ma
Jianjun Zhao
223
3
0
26 Apr 2024
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Shucheng Zhou
AI4CE
469
85
0
03 Feb 2024
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2024
Feiyu Yao
Zongkai Wu
Li Yi
3DH
204
4
0
22 Jan 2024
Self-supervised Heterogeneous Graph Variational Autoencoders
Knowledge Discovery and Data Mining (KDD), 2023
Yige Zhao
Jianxiang Yu
Yao Cheng
Chengcheng Yu
Yiding Liu
Xiang Li
Shuaiqiang Wang
BDL
122
0
0
14 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
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
International Conference on Learning Representations (ICLR), 2023
Yu Wang
Tong Zhao
Yuying Zhao
Yunchao Liu
Xueqi Cheng
Neil Shah
Hanyu Wang
247
15
0
06 Oct 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
326
24
0
20 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
199
7
0
06 Sep 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
International Conference on Machine Learning (ICML), 2023
Shubham Gupta
S. Manchanda
Jignesh M. Patel
Srikanta J. Bedathur
291
11
0
06 Jun 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
242
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
304
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
184
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
310
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
255
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
255
21
0
15 Feb 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
International Conference on Machine Learning (ICML), 2023
Fang Wu
Siyuan Li
Xurui Jin
Yinghui Jiang
Dragomir R. Radev
Z. Niu
Stan Z. Li
289
18
0
07 Jan 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
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Qifeng Bai
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
256
14
0
30 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
210
18
0
19 Oct 2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks
Qinyi Zhu
Liang Wu
Qi Guo
Liangjie Hong
156
0
0
26 Aug 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
281
0
16 Feb 2022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
Liang Peng
Nan Wang
Nicha Dvornek
Xiaofeng Zhu
Xiaoxiao Li
FedML
AI4CE
362
107
0
19 Dec 2021
Siamese Attribute-missing Graph Auto-encoder
Wenxuan Tu
Sihang Zhou
Yue Liu
Xinwang Liu
214
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
301
137
0
23 Nov 2021
Deconvolutional Networks on Graph Data
Neural Information Processing Systems (NeurIPS), 2021
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
161
27
0
29 Oct 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
394
106
0
03 Jul 2021
Incomplete Graph Representation and Learning via Partial Graph Neural Networks
Bo Jiang
Ziyan Zhang
AI4CE
GNN
305
27
0
23 Mar 2020
Hyperbolic Graph Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
537
816
0
28 Oct 2019
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