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Semi-Implicit Graph Variational Auto-Encoders
v1v2v3v4 (latest)

Semi-Implicit Graph Variational Auto-Encoders

Neural Information Processing Systems (NeurIPS), 2019
19 August 2019
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
    BDLGNN
ArXiv (abs)PDFHTML

Papers citing "Semi-Implicit Graph Variational Auto-Encoders"

50 / 68 papers shown
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
186
0
0
18 Jul 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code SelectionThe Web Conference (WWW), 2025
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
327
7
0
17 Apr 2025
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning
  Perspective
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
SSL
259
1
0
14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document
  Networks
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
Changbo Wang
Xinyang Liu
Dongsheng Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
BDL
229
0
0
13 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
500
4
0
16 Sep 2024
Uncertainty-Informed Volume Visualization using Implicit Neural
  Representation
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani
Chitwan Goel
Shrey Bansal
Zhe Wang
Soumya Dutta
Tushar M. Athawale
D. Pugmire
Christopher R. Johnson
406
4
0
12 Aug 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph
  Learning
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Wenbin Hu
Huihao Jing
Qi Hu
Haoran Li
Yangqiu Song
SSLAI4CE
328
2
0
09 Aug 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of
  Vector Field Data
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
Atul Kumar
S. Garg
Soumya Dutta
274
5
0
23 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity
  Distillation
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
214
0
0
25 Jun 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
271
5
0
13 Jun 2024
Self-supervised Graph Neural Network for Mechanical CAD Retrieval
Self-supervised Graph Neural Network for Mechanical CAD Retrieval
Yuhan Quan
Huan Zhao
Jinfeng Yi
Yuqiang Chen
229
3
0
13 Jun 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep
  Image Synthesis
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
Soumya Dutta
Faheem Nizar
Ahmad Amaan
Ayan Acharya
AAML
268
2
0
22 May 2024
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Chuang Liu
Zelin Yao
Yibing Zhan
Xueqi Ma
Dapeng Tao
Hongzhi Zhang
Wenbin Hu
Shirui Pan
Bo Du
AI4CE
282
2
0
17 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
440
11
0
07 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Hongzhi Zhang
Wenbin Hu
250
13
0
24 Apr 2024
Leverage Variational Graph Representation For Model Poisoning on
  Federated Learning
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
Kai Li
Xinnan Yuan
Jingjing Zheng
Wei Ni
Falko Dressler
Abbas Jamalipour
AAMLFedML
315
17
0
23 Apr 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
438
3
0
23 Apr 2024
Score identity Distillation: Exponentially Fast Distillation of
  Pretrained Diffusion Models for One-Step Generation
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou
Huangjie Zheng
Zhendong Wang
Mingzhang Yin
Hai Huang
DiffM
417
157
0
05 Apr 2024
Exploring Task Unification in Graph Representation Learning via
  Generative Approach
Exploring Task Unification in Graph Representation Learning via Generative Approach
Yulan Hu
Ouyang Sheng
Zhirui Yang
Ge Chen
Junchen Wan
Xiao Wang
Yong Liu
196
3
0
21 Mar 2024
Graph Diffusion Policy Optimization
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min Lin
311
18
0
26 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths
Masked Graph Autoencoder with Non-discrete BandwidthsThe Web Conference (WWW), 2024
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Jiliang Tang
Ruixuan Li
195
19
0
06 Feb 2024
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster
  Number k
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k
Yuanchi Ma
Hui He
Zhongxiang Lei
ZhenDong Niu
210
2
0
09 Jan 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
270
18
0
28 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of
  Query-based Integrity Verification
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity VerificationIEEE Symposium on Security and Privacy (S&P), 2023
Bang Wu
Lizhen Qu
Shuo Wang
Qi Li
Minhui Xue
Shirui Pan
287
12
0
13 Dec 2023
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised
  Graph Neural Network
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2023
Ruyue Liu
Rong Yin
Yong Liu
Weiping Wang
SSL
191
14
0
10 Dec 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond
Graph Prompt Learning: A Comprehensive Survey and Beyond
Xiangguo Sun
Jiawen Zhang
Xixi Wu
Hong Cheng
Yun Xiong
Jia Li
981
90
0
28 Nov 2023
Concept-free Causal Disentanglement with Variational Graph Auto-Encoder
Concept-free Causal Disentanglement with Variational Graph Auto-Encoder
Jingyun Feng
Lin Zhang
Lili Yang
BDLCoGeCML
278
2
0
17 Nov 2023
Self-supervised Heterogeneous Graph Variational Autoencoders
Self-supervised Heterogeneous Graph Variational AutoencodersKnowledge Discovery and Data Mining (KDD), 2023
Yige Zhao
Jianxiang Yu
Yao Cheng
Chengcheng Yu
Yiding Liu
Xiang Li
Shuaiqiang Wang
BDL
109
0
0
14 Nov 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient
  Method
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
211
2
0
23 Oct 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
MUSE: Multi-View Contrastive Learning for Heterophilic GraphsInternational Conference on Information and Knowledge Management (CIKM), 2023
Mengyi Yuan
Minjie Chen
Xiangci Li
SSL
215
15
0
29 Jul 2023
Graph Self-Supervised Learning for Endoscopic Image Matching
Graph Self-Supervised Learning for Endoscopic Image MatchingACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023
Manel Farhat
A. Ben-Hamadou
SSL
248
1
0
19 Jun 2023
NESS: Node Embeddings from Static SubGraphs
NESS: Node Embeddings from Static SubGraphs
Talip Uçar
306
5
0
15 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
GANN: Graph Alignment Neural Network for Semi-Supervised LearningPattern Recognition (Pattern Recogn.), 2023
Linxuan Song
Wenxuan Tu
Sihang Zhou
Xinwang Liu
En Zhu
215
9
0
14 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction
Asymmetric Learning for Graph Neural Network based Link PredictionACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Kai-Lang Yao
Wusuo Li
262
3
0
01 Mar 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with MaskingThe Web Conference (WWW), 2023
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
359
45
0
29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable CorruptionKnowledge-Based Systems (KBS), 2023
Chengyu Sun
SSL
191
3
0
28 Jan 2023
Interpretable Node Representation with Attribute Decoding
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
218
4
0
03 Dec 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
165
2
0
16 Nov 2022
Using Graph Algorithms to Pretrain Graph Completion Transformers
Using Graph Algorithms to Pretrain Graph Completion Transformers
Jonathan Pilault
Mikhail Galkin
Bahare Fatemi
Perouz Taslakian
David Vasquez
C. Pal
228
0
0
14 Oct 2022
Text to Image Synthesis using Stacked Conditional Variational
  Autoencoders and Conditional Generative Adversarial Networks
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
Haileleol Tibebu
Aadin Malik
V. D. Silva
GAN
315
11
0
06 Jul 2022
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive
  Representation Learning
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
Ali Lotfi-Rezaabad
Sidharth Kumar
S. Vishwanath
Jonathan I. Tamir
SSL
149
1
0
21 Jun 2022
MoReL: Multi-omics Relational Learning
MoReL: Multi-omics Relational LearningInternational Conference on Learning Representations (ICLR), 2022
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Xiaoning Qian
193
7
0
15 Mar 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
199
43
0
16 Feb 2022
A Variational Edge Partition Model for Supervised Graph Representation
  Learning
A Variational Edge Partition Model for Supervised Graph Representation LearningNeural Information Processing Systems (NeurIPS), 2022
Yingying He
Chaojie Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
322
6
0
07 Feb 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
248
59
0
02 Feb 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
332
0
0
30 Jan 2022
Graph Representation Learning via Contrasting Cluster Assignments
Graph Representation Learning via Contrasting Cluster Assignments
Chun-Yang Zhang
Hong-Yu Yao
F. I. C. L. Philip Chen
Yue-Na Lin
SSL
149
5
0
15 Dec 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph
  Autoencoders
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Benjamin Chapus
Viet-Anh Tran
Michalis Vazirgiannis
222
22
0
02 Aug 2021
Exploring the Representational Power of Graph Autoencoder
Exploring the Representational Power of Graph Autoencoder
Maroun Haddad
Mohamed Bouguessa
120
6
0
22 Jun 2021
Mesh-based graph convolutional neural networks for modeling materials
  with microstructure
Mesh-based graph convolutional neural networks for modeling materials with microstructure
A. Frankel
Cosmin Safta
Coleman Alleman
Reese E. Jones
381
17
0
04 Jun 2021
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