Variational Graph Auto-Encoders

21 November 2016

Papers citing "Variational Graph Auto-Encoders"

50 / 560 papers shown

Title
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 19 6 0 06 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 36 29 0 06 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 18 20 0 28 Mar 2023
A source separation approach to temporal graph modelling for computer networks Corentin Larroche 24 0 0 28 Mar 2023
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Lukasz Brzozowski Grzegorz Siudem M. Gagolewski 44 1 0 21 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 30 4 0 14 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning Yun Zhu Jianhao Guo Siliang Tang 32 28 0 24 Feb 2023
Empathetic Response Generation via Emotion Cause Transition Graph Yushan Qian Bo Wang Ting-En Lin Yinhe Zheng Yingfu Zhu Dongming Zhao Yuexian Hou Yuchuan Wu Yongbin Li 49 15 0 23 Feb 2023
Do We Really Need Complicated Model Architectures For Temporal Networks? Weilin Cong Si Zhang Jian Kang Baichuan Yuan Hao Wu Xin Zhou Hanghang Tong Mehrdad Mahdavi GNN AI4TS 31 115 0 22 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 31 1 0 22 Feb 2023
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation Yang Fan Xuanji Yu Raymond J. Wieser D. Meakin Avishai Shaton ... Michael Howell J. Braid L. Bruckman R. French Yinghui Wu 72 4 0 21 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 25 68 0 15 Feb 2023
Transferable Deep Metric Learning for Clustering C. SimoAlami Rim Kaddah Jesse Read 35 0 0 13 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 42 12 0 13 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 41 16 0 02 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 44 13 0 01 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 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
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 28 3 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 34 1 0 28 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
E(n)-equivariant Graph Neural Cellular Automata G. Gala Daniele Grattarola Erik Quaeghebeur GNN 48 3 0 25 Jan 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 42 91 0 03 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 52 40 0 01 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 30 7 0 28 Dec 2022
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages Lakshmi Sireesha Vakada Anudeep Ch Mounika Marreddy S. Oota R. Mamidi 24 1 0 25 Dec 2022
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection James Pope Jinyuan Liang Vijay S. Kumar Francesco Raimondo Xinyi Sun ... Ioannis Mavromatis Adrián Sánchez-Mompó P. Carnelli Theodoros Spyridopoulos UK InnovationLaboratory 21 1 0 16 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 24 9 0 08 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 37 42 0 04 Dec 2022
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 32 4 0 03 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 37 12 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 50 87 0 02 Dec 2022
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning Dongjie Wang Lingfei Wu Denghui Zhang Jingbo Zhou Leilei Sun Yanjie Fu 30 18 0 01 Dec 2022
G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring Nivedita Bijlani Oscar Alejandro Mendez Maldonado Samaneh Kouchaki 27 3 0 29 Nov 2022
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh Chawla 33 12 0 29 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration Teodora Reu 32 1 0 28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 49 14 0 28 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations Maximilian Zipfl Moritz Jarosch J. Marius Zöllner GNN 32 2 0 24 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 28 21 0 19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 30 7 0 18 Nov 2022
Predicting Human Mobility via Self-supervised Disentanglement Learning Qiang Gao Jinyung Hong Xovee Xu Ping Kuang Fan Zhou Goce Trajcevski 31 12 0 17 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Danny Chen Jian Wu NoLa 33 34 0 12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 45 20 0 12 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 33 12 0 11 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed Graphs Meiby Ortiz-Bouza Selin Aviyente GNN 21 1 0 09 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 38 11 0 07 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 50 5 0 07 Nov 2022
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini F. Simini Austin R. Clyde A. Ramanathan 26 5 0 04 Nov 2022
Rethinking the positive role of cluster structure in complex networks for link prediction tasks Shan-Shan Zhang Wenjiao Zhang Zhan Bu 21 0 0 04 Nov 2022