Variational Graph Auto-Encoders

21 November 2016

Papers citing "Variational Graph Auto-Encoders"

50 / 558 papers shown

Title
Negative Metric Learning for Graphs Yiyang Zhao Chengpei Wu Lilin Zhang Ning Yang 24 0 0 15 May 2025
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders Guozhong Li Muhannad Alhumaidi Spiros Skiadopoulos Ibrahim Hoteit Panos Kalnis AI4CE 29 0 0 08 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Meng Xiao Ziyue Qiao Pengyang Wang Yuanchun Zhou 219 0 0 08 May 2025
Vision Graph Prompting via Semantic Low-Rank Decomposition Zixiang Ai Zichen Liu Jiahuan Zhou 58 0 0 07 May 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Juan Carlos Climent Pardo 45 0 0 24 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 34 0 0 17 Apr 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 26 1 0 10 Apr 2025
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks Emré Anakok Pierre Barbillon Colin Fontaine Elisa Thébault 57 0 0 19 Mar 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 61 0 0 18 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 68 0 0 13 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 56 1 0 10 Mar 2025
Deep Cut-informed Graph Embedding and Clustering Zhiyuan Ning Zaitian Wang Ran Zhang Ping Xu Kunpeng Liu ... Chong Chen Pengfei Wang Yuanchun Zhou Erik Cambria Chong Chen GNN 76 3 0 09 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks Xiao Yue Guangzhi Qu Lige Gan GAN FAtt AI4CE 63 0 0 08 Mar 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 81 0 0 20 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 89 0 0 17 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation Shilong Zhang Wenbo Li Shoufa Chen Chongjian Ge Peize Sun Yunke Zhang Yi-Xin Jiang Zehuan Yuan Binyue Peng Ping Luo DiffM VGen 103 3 0 07 Feb 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 43 0 0 30 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 44 2 0 28 Jan 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao G. Guo Xingwei Wang 42 1 0 28 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 52 1 0 23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 46 0 0 22 Jan 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 43 0 0 22 Jan 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things Mengran Li Junzhou Chen Chenyun Yu Guanying Jiang Ronghui Zhang Yanming Shen Houbing Song 40 0 0 20 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 56 0 0 17 Jan 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 83 0 0 15 Jan 2025
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Edward Turner GNN 38 1 0 14 Jan 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 89 8 0 10 Jan 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su Youhe Feng Zheng Li Jinhua Song Yangfan He Botao Ren Botian Xu AI4CE 96 2 0 10 Dec 2024
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling Jinming Xing Ruilin Xing Chang Xue Dongwen Luo 29 2 0 12 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 1 0 06 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 47 2 0 28 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Mufei Li Siqi Miao Pan Li RALM 38 9 0 28 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 55 2 0 25 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül Rajgopal Kannan Viktor Prasanna FedML 29 0 0 17 Oct 2024
Federated Temporal Graph Clustering Yang Liu Zhenhong Zhou Xianghong Xu Yue Liu FedML 79 0 0 16 Oct 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks Guibin Zhang Xinfeng Li Xiangguo Sun Guancheng Wan Miao Yu Junfeng Fang Kun Wang Dawei Cheng Dawei Cheng AAML AI4CE 54 7 0 15 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 47 0 0 15 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation Félix Marcoccia C. Adjih P. Mühlethaler DiffM 31 0 0 09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 58 1 0 09 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 25 0 0 08 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 28 0 0 05 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 0 01 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 40 0 0 18 Sep 2024
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
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 33 0 0 13 Sep 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 33 0 0 07 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 36 2 0 27 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 44 3 0 09 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 29 3 0 04 Jul 2024