Semi-Implicit Graph Variational Auto-Encoders

19 August 2019

Mingyuan Zhou

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

20 / 20 papers shown

Title
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 39 0 0 17 Apr 2025
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 51 1 0 16 Sep 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 58 0 0 23 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 51 0 0 25 Jun 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 56 4 0 24 Apr 2024
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 36 0 0 23 Oct 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 35 4 0 14 Mar 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 37 1 0 28 Jan 2023
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 35 4 0 03 Dec 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 20 7 0 06 Jul 2022
MoReL: Multi-omics Relational Learning Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Xiaoning Qian 27 7 0 15 Mar 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 29 0 0 30 Jan 2022
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 326 0 22 Feb 2021
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 29 28 0 03 Jul 2020
Network-principled deep generative models for designing drug combinations as graph sets Mostafa Karimi Arman Hasanzadeh Yang Shen GNN 35 31 0 16 Apr 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 34 6 0 05 Feb 2020
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018