A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

22 September 2017

Hongyun Cai

V. Zheng

Kevin Chen-Chuan Chang

AI4TS

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Papers citing "A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications"

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Link Prediction on N-ary Relational Data Based on Relatedness Evaluation Saiping Guan Xiaolong Jin Jiafeng Guo Yuanzhuo Wang Xueqi Cheng 31 27 0 21 Apr 2021
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Scaling up graph homomorphism for classification via sampling P. Beaujean F. Sikora Florian Yger 14 3 0 08 Apr 2021
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding Xinyi Zhang Lihu Chen 17 4 0 06 Apr 2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT Wai Weng Lo S. Layeghy Mohanad Sarhan M. Gallagher Marius Portmann 14 192 0 30 Mar 2021
Your most telling friends: Propagating latent ideological features on Twitter using neighborhood coherence P. Morales Jean-Philippe Cointet Julio Laborde 6 7 0 12 Mar 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks C. Connell Yangkun Wang 6 0 0 12 Mar 2021
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning Bang Lin Xiuchong Wang Yu Dong Chengfu Huo Weijun Ren Chuanyu Xu 17 2 0 11 Mar 2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks Xiang Wang Xiaoyong Li Junxing Zhu Zichen Xu Kaijun Ren Weiming Zhang Xinwang Liu Kui Yu 17 5 0 10 Mar 2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces G. Tsialiamanis Charilaos Mylonas Eleni Chatzi N. Dervilis D. Wagg Keith Worden 28 40 0 05 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Wang Wenwu Zhu 19 85 0 01 Mar 2021
Neural ranking models for document retrieval M. Trabelsi Zhiyu Zoey Chen Brian D. Davison J. Heflin FedML 34 28 0 23 Feb 2021
A Statistical Relational Approach to Learning Distance-based GCNs Devendra Singh Dhami Siwen Yan Sriraam Natarajan TU Darmstadt GNN 27 0 0 13 Feb 2021
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks Hansheng Xue Luwei Yang Vaibhav Rajan Wen Jiang Yi Wei Yu Lin GNN 13 46 0 12 Feb 2021
Speaker attribution with voice profiles by graph-based semi-supervised learning Jixuan Wang Xiong Xiao Jian Wu Ranjani Ramamurthy Frank Rudzicz M. Brudno 8 10 0 06 Feb 2021
Unified Framework for Feature Extraction based on Contrastive Learning Hongjie Zhang SSL 18 12 0 25 Jan 2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks Yingfang Yuan Wenjun Wang George Macleod Coghill Wei Pang 13 15 0 22 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 22 61 0 20 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 24 162 0 20 Jan 2021
Alignment and stability of embeddings: measurement and inference improvement Furkan Gursoy Mounir Haddad Cécile Bothorel 12 8 0 18 Jan 2021
Understanding in Artificial Intelligence S. Maetschke D. M. Iraola Pieter Barnard Elaheh Shafieibavani Peter Zhong Ying Xu Antonio Jimeno Yepes ELM VLM 24 0 0 17 Jan 2021
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data Yankai Chen Yaozu Wu Shicheng Ma Irwin King 17 6 0 17 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 34 5 0 14 Jan 2021
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification Weipeng Jing Xianyang Song Donglin Di Haoze Song GNN 15 9 0 13 Jan 2021
A Survey on Embedding Dynamic Graphs Claudio D. T. Barros Matheus R. F. Mendonça A. Vieira A. Ziviani AI4TS AI4CE 21 122 0 04 Jan 2021
Understanding graph embedding methods and their applications Mengjia Xu 26 128 0 15 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 80 110 0 10 Dec 2020
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans Vahid Azizi Muhammad Usman H. Zhou P. Faloutsos Mubbasir Kapadia 3DV 14 18 0 08 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 294 0 30 Nov 2020
Curvature Regularization to Prevent Distortion in Graph Embedding Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Chunxu Zhang Bo Yang 10 13 0 28 Nov 2020
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability Sunipa Dev 29 1 0 25 Nov 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 29 136 0 23 Nov 2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications Chaochao Chen Jamie Cui Guanfeng Liu Jia Wu Li Wang 25 22 0 20 Nov 2020
Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness António Branco João Rodrigues M. Salawa Ruben Branco Chakaveh Saedi 6 6 0 16 Nov 2020
Discovering alignment relations with Graph Convolutional Networks: a biomedical case study Pierre Monnin Chedy Raïssi A. Napoli Adrien Coulet GNN 15 12 0 11 Nov 2020
Toward Edge-Centric Network Embeddings G. Pirrò GNN 23 0 0 11 Nov 2020
Statistical learning for change point and anomaly detection in graphs A. Malinovskaya Philipp Otto T. Peters 14 1 0 10 Nov 2020
Relation-weighted Link Prediction for Disease Gene Identification Srivamshi Pittala William C. Koehler Jonathan R. Deans Daniel Salinas Martin Bringmann Katharina Sophia Volz Berk Kapicioglu 6 6 0 10 Nov 2020
Merchant Category Identification Using Credit Card Transactions Chin-Chia Michael Yeh Zhongfang Zhuang Yan Zheng Liang Wang Junpeng Wang Wei Zhang 20 8 0 05 Nov 2020
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets Seid Muhie Yimam A. Ayele Gopalakrishnan Venkatesh Ibrahim Gashaw Christian Biemann 25 27 0 02 Nov 2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference Ali Lotfi-Rezaabad Rahi Kalantari S. Vishwanath Mingyuan Zhou Jonathan I. Tamir 4 1 0 31 Oct 2020
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques Paula Mercurio Di Liu 13 2 0 29 Oct 2020
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding Yongqi Zhang Quanming Yao Lei Chen BDL 19 6 0 24 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 33 102 0 23 Oct 2020
Pre-training Graph Transformer with Multimodal Side Information for Recommendation Yong-jin Liu Susen Yang Chenyi Lei Guoxin Wang Haihong Tang Juyong Zhang Aixin Sun Chunyan Miao 6 4 0 23 Oct 2020
Quantifying Privacy Leakage in Graph Embedding Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 15 119 0 02 Oct 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 30 9 0 23 Sep 2020
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction Xiong Dan 9 7 0 22 Sep 2020
Force2Vec: Parallel force-directed graph embedding Md. Khaledur Rahman Majedul Haque Sujon A. Azad GNN 11 18 0 17 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering Chaojie Ji Hongwei Chen Ruxin Wang Yunpeng Cai Hongyan Wu 17 12 0 12 Sep 2020