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Dirichlet Graph Variational Autoencoder
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Dirichlet Graph Variational Autoencoder"

35 / 35 papers shown
Title
BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
Mohit Gupta
Debjit Bhowmick
Ben Beck
GNN
90
0
0
18 Jul 2025
To Share or Not to Share: Investigating Weight Sharing in Variational Graph AutoencodersThe Web Conference (WWW), 2025
Guillaume Salha-Galvan
Jiaying Xu
150
0
0
23 Feb 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal 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
Signed Graph Autoencoder for Explainable and Polarization-Aware Network EmbeddingsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
375
2
0
16 Sep 2024
Uncertainty Quantification on Graph Learning: A Survey
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
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
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
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsBritish 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
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
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step RetrosynthesisJACS 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
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLLBDL
105
8
0
13 Sep 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion
  Modeling
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingInternational 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
Contrastive Graph Clustering in Curvature SpacesInternational 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
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
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph DataInternational 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
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
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
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
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
SCGG: A Deep Structure-Conditioned Graph Generative ModelPLoS ONE (PLoS ONE), 2022
Faezeh Faez
Negin Hashemi Dijujin
M. Baghshah
Hamid R. Rabiee
GNNBDL
121
6
0
20 Sep 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised
  Learning
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised LearningAAAI 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
Deep Graph Clustering via Mutual Information Maximization and Mixture ModelKnowledge and Information Systems (KAIS), 2022
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
189
8
0
10 May 2022
Gransformer: Transformer-based Graph Generation
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
A Survey on Deep Graph Generation: Methods and ApplicationsLOG IN (LOG IN), 2022
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DVGNN
280
75
0
13 Mar 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational
  Autoencoder
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational AutoencoderIEEE 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
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link PredictionNeural Networks (NN), 2022
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
207
56
0
02 Feb 2022
Stratified Graph Spectra
Stratified Graph Spectra
Fanchao Meng
M. Orr
Samarth Swarup
197
0
0
10 Jan 2022
Deconvolutional Networks on Graph Data
Deconvolutional Networks on Graph DataNeural 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
Graph2Graph Learning with Conditional Autoregressive Models
Guan Wang
F. Lauze
Aasa Feragen
CMLGNNAI4CE
157
2
0
06 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular
  Graphs
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
Graph-based Semi-supervised Learning: A Comprehensive ReviewIEEE 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
Self-Supervised Learning of Graph Neural Networks: A Unified ReviewIEEE 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
Mask-GVAE: Blind Denoising Graphs via PartitionThe 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
Deep Graph Generators: A SurveyIEEE Access (IEEE Access), 2020
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNNAI4CE
207
67
0
31 Dec 2020
Graph Autoencoders with Deconvolutional Networks
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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