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Graph Neural Networks Designed for Different Graph Types: A Survey

Graph Neural Networks Designed for Different Graph Types: A Survey

6 April 2022
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
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Papers citing "Graph Neural Networks Designed for Different Graph Types: A Survey"

25 / 25 papers shown
Title
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on
  Graph Neural Network
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
Liwei Ni
Xinquan Li
Biwei Xie
Huawei Li
GNN
16
0
0
13 Nov 2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression
  Tasks
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks
P. Samoaa
Mehrdad Farahani
Antonio Longa
Philipp Leitner
M. Chehreghani
27
0
0
17 Jun 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
21
2
0
27 May 2024
Utilizing Description Logics for Global Explanations of Heterogeneous
  Graph Neural Networks
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
Dominik Köhler
Stefan Heindorf
19
0
0
21 May 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
25
7
0
04 Jan 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
21
3
0
02 Nov 2023
Tree Cross Attention
Tree Cross Attention
Zixuan Chen
Zewei He
Ziqian Lu
Zheming Lu
Mohamed Osama Ahmed
34
0
0
29 Sep 2023
Spear and Shield: Adversarial Attacks and Defense Methods for
  Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Dongjin Lee
Juho Lee
Kijung Shin
AAML
13
1
0
21 Aug 2023
Graph Neural Network for spatiotemporal data: methods and applications
Graph Neural Network for spatiotemporal data: methods and applications
Yun-Qing Li
Dazhou Yu
Zhenke Liu
Minxing Zhang
Xi Gong
Liang Zhao
AI4TS
AI4CE
14
10
0
30 May 2023
Graph Neural Networks for Text Classification: A Survey
Graph Neural Networks for Text Classification: A Survey
Kunze Wang
Yihao Ding
S. Han
FaML
GNN
13
25
0
23 Apr 2023
Graph Neural Networks for temporal graphs: State of the art, open
  challenges, and opportunities
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lió
F. Scarselli
Andrea Passerini
AI4CE
11
50
0
02 Feb 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent
  Node Embeddings
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte
Ryan A. Rossi
Shunan Guo
Jane Hoffswell
Nedim Lipka
Chang Xiao
G. Chan
E. Koh
Nesreen Ahmed
GNN
14
11
0
28 Dec 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
19
9
0
08 Oct 2022
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas K. Garg
84
54
0
29 Sep 2022
FDGNN: Fully Dynamic Graph Neural Network
FDGNN: Fully Dynamic Graph Neural Network
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
R. Nather
J. M. Thomas
AI4CE
15
0
0
07 Jun 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 2021
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
Tinglin Huang
Dingxian Wang
Yancheng Yuan
Zhenguang Liu
Xiangnan He
Tat-Seng Chua
80
326
0
14 Feb 2021
Calibrating and Improving Graph Contrastive Learning
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Haochen Yang
Han Yang
Yongqiang Chen
James Cheng
22
6
0
27 Jan 2021
Hyperbolic Deep Neural Networks: A Survey
Hyperbolic Deep Neural Networks: A Survey
Wei Peng
Tuomas Varanka
Abdelrahman Mostafa
Henglin Shi
Guoying Zhao
AI4CE
41
133
0
12 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
159
463
0
31 Dec 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human
  Motion Prediction
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
AI4CE
3DH
88
267
0
17 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
159
170
0
09 Mar 2020
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
231
3,202
0
24 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
198
7,816
0
13 Jun 2015
Learning Polytrees
Learning Polytrees
S. Dasgupta
TPM
57
128
0
23 Jan 2013
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