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2010.04408
Cited By
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Dirichlet Graph Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2020
9 October 2020
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
Re-assign community
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Papers citing
"Dirichlet Graph Variational Autoencoder"
35 / 35 papers shown
Title
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To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders
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Jiaying Xu
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23 Feb 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Journal of Network and Computer Applications (JNCA), 2024
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
465
6
0
28 Oct 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
375
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0
16 Sep 2024
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
AI4CE
322
2
0
23 Apr 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
Iakovos Evdaimon
Giannis Nikolentzos
Michail Chatzianastasis
Hadi Abdine
Michalis Vazirgiannis
DiffM
156
7
0
03 Mar 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
157
15
0
28 Dec 2023
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
British Machine Vision Conference (BMVC), 2023
Benjamin Keel
A. Quyn
David Jayne
Samuel D. Relton
DRL
116
5
0
27 Nov 2023
EDGE++: Improved Training and Sampling of EDGE
Mingyang Wu
Xiaohui Chen
Liping Liu
DiffM
189
2
0
22 Oct 2023
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
JACS Au (JACS Au), 2023
Lin Yao
Wentao Guo
Zhen Wang
Shang Xiang
Wentan Liu
Guolin Ke
203
23
0
27 Sep 2023
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLL
BDL
105
8
0
13 Sep 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
International Conference on Machine Learning (ICML), 2023
Xiaohui Chen
Jiaxing He
Xuhong Han
Liping Liu
DiffM
311
68
0
06 May 2023
Contrastive Graph Clustering in Curvature Spaces
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
183
23
0
05 May 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing
Wei Lu
Nicolas A. Lee
Markus J. Buehler
AI4CE
94
1
0
11 Apr 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
International Conference on Learning Representations (ICLR), 2023
Jiajin Li
Jianheng Tang
Lemin Kong
Huikang Liu
Jia Li
Anthony Man-Cho So
Jose H. Blanchet
182
15
0
12 Mar 2023
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
174
4
0
03 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
224
36
0
23 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
194
26
0
19 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
103
2
0
16 Nov 2022
SCGG: A Deep Structure-Conditioned Graph Generative Model
PLoS ONE (PLoS ONE), 2022
Faezeh Faez
Negin Hashemi Dijujin
M. Baghshah
Hamid R. Rabiee
GNN
BDL
121
6
0
20 Sep 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jiashun Cheng
Man Li
Jia Li
Fugee Tsung
SSL
228
21
0
26 Jun 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Knowledge and Information Systems (KAIS), 2022
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
189
8
0
10 May 2022
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
228
2
0
25 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
LOG IN (LOG IN), 2022
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
280
75
0
13 Mar 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Kiran Mantripragada
Faisal Z. Qureshi
283
40
0
02 Mar 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Neural Networks (NN), 2022
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
207
56
0
02 Feb 2022
Stratified Graph Spectra
Fanchao Meng
M. Orr
Samarth Swarup
197
0
0
10 Jan 2022
Deconvolutional Networks on Graph Data
Neural Information Processing Systems (NeurIPS), 2021
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
122
25
0
29 Oct 2021
Graph2Graph Learning with Conditional Autoregressive Models
Guan Wang
F. Lauze
Aasa Feragen
CML
GNN
AI4CE
157
2
0
06 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
Willis Hoke
D. Shea
S. Casey
AI4CE
120
0
0
26 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
257
259
0
26 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
474
373
0
22 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition
The Web Conference (WWW), 2021
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
132
10
0
08 Feb 2021
Deep Graph Generators: A Survey
IEEE Access (IEEE Access), 2020
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
207
67
0
31 Dec 2020
Graph Autoencoders with Deconvolutional Networks
Jia Li
Tomas Yu
Da-Cheng Juan
Arjun Gopalan
Hong Cheng
Andrew Tomkins
GNN
136
9
0
22 Dec 2020
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