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

23 November 2021

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 Zihao Zhang Xunkai Li R. Li Bing Zhou Zhenjun Li Guoren Wang 34 0 0 03 Apr 2025
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 Pavel Procházka Marek Dědič Lukáš Bajer GNN 22 0 0 26 Sep 2024
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 16 0 0 11 Aug 2024
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks S. S. Shuvo Ali Aghdaei Zhuo Feng 43 0 0 15 Jun 2024
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner Tong Nie Guoyang Qin Wei Ma Jiangming Sun 19 8 0 06 May 2024
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 31 1 0 26 Apr 2024
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 26 3 0 23 Jan 2024
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective Feiyu Yao Zongkai Wu Li Yi 3DH 10 1 0 22 Jan 2024
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 11 5 0 13 Nov 2023
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning Thomas Bonald Nathan de Lara DiffM 6 0 0 13 Nov 2023
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 Anwar Said Mudassir Shabbir Tyler Derr W. Abbas X. Koutsoukos 11 2 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 45 6 0 10 Oct 2023
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 Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 49 13 0 25 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 9 2 0 16 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 18 2 0 06 Sep 2023
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 12 0 0 21 Jul 2023
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 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? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 14 6 0 01 Jun 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Jin Young Choi DiffM 8 14 0 26 May 2023
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 Xiaochuan Zhang Mengran Li Ye Wang Haojun Fei 16 1 0 05 May 2023
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 Cheng Zhang 11 14 0 17 Feb 2023
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 Lev Telyatnikov Simone Scardapane GNN 16 13 0 19 Oct 2022
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 Ivan Marisca Andrea Cini C. Alippi AI4TS 20 62 0 26 May 2022
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 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 Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 19 6 0 15 Feb 2022
Designing weighted and multiplex networks for deep learning user geolocation in Twitter Federico M. Funes José Ignacio Alvarez-Hamelin M. G. Beiró GNN 18 1 0 13 Dec 2021
Propagation on Multi-relational Graphs for Node Regression Eda Bayram 16 1 0 15 Oct 2021
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 Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016