Variational Graph Auto-Encoders

21 November 2016

Papers citing "Variational Graph Auto-Encoders"

50 / 571 papers shown

Title
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
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 25 1 0 03 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 39 4 0 01 Nov 2022
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation Jiashuo Wang Yi Cheng Wenjie Li 34 12 0 01 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 50 10 0 30 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 41 0 0 26 Oct 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 33 4 0 25 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 22 3 0 25 Oct 2022
Thermodynamics-informed neural networks for physically realistic mixed reality Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 22 16 0 24 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 30 14 0 17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 38 16 0 17 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 40 54 0 16 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering Jianpeng Chen Yawen Ling Jie Xu Yazhou Ren Shudong Huang X. Pu Zhifeng Hao Philip S. Yu Lifang He 43 5 0 13 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 32 41 0 11 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 41 45 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 62 0 07 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 33 12 0 05 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 27 3 0 03 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 63 36 0 30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 36 50 0 30 Sep 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 29 3 0 28 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 23 15 0 28 Sep 2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions Dongjie Wang Kunpeng Liu Yanyong Huang Leilei Sun Bowen Du Yanjie Fu AI4CE 38 3 0 26 Sep 2022
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 38 15 0 20 Sep 2022
Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 45 1 0 19 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 19 6 0 17 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 28 35 0 16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 27 6 0 16 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 43 15 0 14 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 83 0 07 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 31 4 0 02 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs Xin Liu Xunbin Xiong Yurui Lai Runzhen Xue Shirui Pan Xiaochun Ye Xiaochun Ye 23 1 0 02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 83 24 0 01 Sep 2022
Representation Learning of Knowledge Graph for Wireless Communication Networks Shiwen He Yeyu Ou Liangpeng Wang Hang Zhan Peng Ren Yongming Huang GNN 30 3 0 22 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 55 372 0 05 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 30 11 0 04 Aug 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 37 32 0 30 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 27 10 0 18 Jul 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 13 0 0 18 Jul 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations James Koch Zhao Chen Aaron Tuor Ján Drgoňa D. Vrabie PINN 37 10 0 11 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 48 64 0 30 Jun 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 22 83 0 30 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 35 14 0 23 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Bin Cui AAML 31 16 0 17 Jun 2022
Learning to Infer Structures of Network Games Emanuele Rossi Federico Monti Yan Leng Michael M. Bronstein Xiaowen Dong 42 9 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 27 94 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 40 99 0 15 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 29 0 0 15 Jun 2022