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On the Unreasonable Effectiveness of Feature propagation in Learning on
  Graphs with Missing Node Features

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

23 November 2021
Emanuele Rossi
Henry Kenlay
Maria I. Gorinova
B. Chamberlain
Xiaowen Dong
M. Bronstein
ArXivPDFHTML

Papers citing "On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features"

39 / 39 papers shown
Title
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Zihao Zhang
Xunkai Li
R. Li
Bing Zhou
Zhenjun Li
Guoren Wang
36
0
0
03 Apr 2025
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach
Qishen Zhou
Yifan Zhang
Michail A. Makridis
Anastasios Kouvelas
Yibing Wang
Simon Hu
49
0
0
20 Mar 2025
Convolutional Signal Propagation: A Simple Scalable Algorithm for
  Hypergraphs
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs
Pavel Procházka
Marek Dědič
Lukáš Bajer
GNN
24
0
0
26 Sep 2024
On zero-shot learning in neural state estimation of power distribution
  systems
On zero-shot learning in neural state estimation of power distribution systems
Aleksandr Berezin
Stephan Balduin
Thomas Oberließen
Sebastian Peter
Eric M. S. P. Veith
23
0
0
11 Aug 2024
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the
  Stability of Graph Neural Networks
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks
S. S. Shuvo
Ali Aghdaei
Zhuo Feng
45
0
0
15 Jun 2024
Spatiotemporal Implicit Neural Representation as a Generalized Traffic
  Data Learner
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
Tong Nie
Guoyang Qin
Wei Ma
Jiangming Sun
21
8
0
06 May 2024
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data
  Imputation in Graphs
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
39
1
0
26 Apr 2024
Gradient Flow of Energy: A General and Efficient Approach for Entity
  Alignment Decoding
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
Yuanyi Wang
Haifeng Sun
Jingyu Wang
Qi Qi
Shaoling Sun
Jianxin Liao
36
3
0
23 Jan 2024
Full-Body Motion Reconstruction with Sparse Sensing from Graph
  Perspective
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao
Zongkai Wu
Li Yi
3DH
18
1
0
22 Jan 2024
Missing Value Imputation for Multi-attribute Sensor Data Streams via
  Message Propagation (Extended Version)
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)
Xiao Li
Huan Li
Hua Lu
Christian S. Jensen
Varun Pandey
Volker Markl
15
5
0
13 Nov 2023
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph
  Learning
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning
Thomas Bonald
Nathan de Lara
DiffM
10
0
0
13 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Debolina Halder Lina
Arlei Silva
18
0
0
02 Nov 2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph
  Embeddings Augmentation
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
Anwar Said
Mudassir Shabbir
Tyler Derr
W. Abbas
X. Koutsoukos
18
2
0
10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion
Supercharging Graph Transformers with Advective Diffusion
Qitian Wu
Chenxiao Yang
Kaipeng Zeng
Fan Nie
AI4CE
45
5
0
10 Oct 2023
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit
  Point-Graph Networks
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks
Kangxian Xie
Jiancheng Yang
D. Wei
Ziqiao Weng
Pascal Fua
27
2
0
29 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
54
13
0
25 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings
Recovering Missing Node Features with Local Structure-based Embeddings
Victor M. Tenorio
Madeline Navarro
Santiago Segarra
Antonio G. Marques
14
2
0
16 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features
  and Structure Missing
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
Sichao Fu
Qinmu Peng
Yang He
Baokun Du
Xinge You
21
2
0
06 Sep 2023
Using simulation to calibrate real data acquisition in veterinary
  medicine
Using simulation to calibrate real data acquisition in veterinary medicine
Krystian Strzalka
Szymon Mazurek
Maciej Wielgosz
P. Russek
Jakub Caputa
...
E. Jamro
Marcin Pietroñ
S. Koryciak
A. Dabrowska-Boruch
K. Wiatr
14
0
0
21 Jul 2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen
Kaize Ding
Shixiang Zhu
11
5
0
14 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta
S. Manchanda
Sayan Ranu
Srikanta J. Bedathur
22
7
0
06 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks
  Constitute Privacy Risk?
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
Iyiola E. Olatunji
Anmar Hizber
Oliver Sihlovec
Megha Khosla
AAML
17
6
0
01 Jun 2023
Confidence-Based Feature Imputation for Graphs with Partially Known
  Features
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um
Jiwoong Park
Seulki Park
Jin Young Choi
DiffM
11
14
0
26 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
20
4
0
17 May 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised
  Contrastive Learning
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
Xiaochuan Zhang
Mengran Li
Ye Wang
Haojun Fei
21
1
0
05 May 2023
TwERC: High Performance Ensembled Candidate Generation for Ads
  Recommendation at Twitter
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
Vanessa Cai
Pradeep Prabakar
Manuel Serrano Rebuelta
Lucas Rosen
Federico Monti
...
Tomo Lazovich
J. Raj
Y. Shrinivasan
Hao Li
Thomas Markovich
19
0
0
27 Feb 2023
Learnable Topological Features for Phylogenetic Inference via Graph
  Neural Networks
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks
Cheng Zhang
15
14
0
17 Feb 2023
Self-supervised Guided Hypergraph Feature Propagation for
  Semi-supervised Classification with Missing Node Features
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
Chengxiang Lei
Sichao Fu
Yuetian Wang
Wen-Qiang Qiu
Yachen Hu
Qinmu Peng
Xinge You
25
3
0
16 Feb 2023
EGG-GAE: scalable graph neural networks for tabular data imputation
EGG-GAE: scalable graph neural networks for tabular data imputation
Lev Telyatnikov
Simone Scardapane
GNN
23
13
0
19 Oct 2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks
Remote Work Optimization with Robust Multi-channel Graph Neural Networks
Qinyi Zhu
Liang Wu
Qi Guo
Liangjie Hong
12
0
0
26 Aug 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with
  Sparse Observations
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca
Andrea Cini
C. Alippi
AI4TS
22
62
0
26 May 2022
A Survey on Fairness for Machine Learning on Graphs
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
13
22
0
11 May 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
19
218
0
16 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise,
  Distribution Shift, and Adversarial Attack
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
24
6
0
15 Feb 2022
Designing weighted and multiplex networks for deep learning user
  geolocation in Twitter
Designing weighted and multiplex networks for deep learning user geolocation in Twitter
Federico M. Funes
José Ignacio Alvarez-Hamelin
M. G. Beiró
GNN
23
1
0
13 Dec 2021
Propagation on Multi-relational Graphs for Node Regression
Propagation on Multi-relational Graphs for Node Regression
Eda Bayram
21
1
0
15 Oct 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
186
913
0
02 Mar 2020
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
229
1,941
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
236
3,234
0
24 Nov 2016
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