Graph Embedding Techniques, Applications, and Performance: A Survey

8 May 2017

Papers citing "Graph Embedding Techniques, Applications, and Performance: A Survey"

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Title
Visualising Argumentation Graphs with Graph Embeddings and t-SNE Lars Malmqvist Tommy Yuan S. Manandhar GAN 18 1 0 01 Jul 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 21 33 0 27 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 30 39 0 22 Jun 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning Dayu Tan Zheng Huang Xin Peng W. Zhong V. Mahalec 25 11 0 31 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 22 28 0 07 Mar 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 28 12 0 14 Feb 2021
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
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 10 1 0 26 Sep 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 24 9 0 23 Sep 2020
Community detection in networks using graph embeddings Aditya Tandon A. Albeshri V. Thayananthan W. Alhalabi F. Radicchi S. Fortunato GNN 18 37 0 11 Sep 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 44 147 0 13 Jul 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 18 134 0 18 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
Hierarchical Class-Based Curriculum Loss Palash Goyal Shalini Ghosh 14 8 0 05 Jun 2020
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes Asan Agibetov Matthias Samwald 37 7 0 15 May 2020
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph Chien-Chun Ni Kin Sum Liu Nicolas Torzec 9 31 0 15 Apr 2020
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis Yuping Li Jiyong Jang Xinming Ou 11 5 0 14 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 44 57 0 01 Apr 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks Chixiang Ma Lei-huan Sun Zhuoyao Zhong Qiang Huo 28 56 0 16 Mar 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 35 22 0 25 Feb 2020
Shortest path distance approximation using deep learning techniques Fatemeh Salehi Rizi Jorg Schlotterer Michael Granitzer GNN 16 35 0 12 Feb 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
Fast Sequence-Based Embedding with Diffusion Graphs Benedek Rozemberczki Rik Sarkar GNN 14 60 0 21 Jan 2020
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints Marek Śmieja Lukasz Struski Mário A. T. Figueiredo 14 37 0 18 Jan 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification Alex Ruch 20 6 0 04 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Privacy Attacks on Network Embeddings Michael Ellers Michael Cochez Tobias Schumacher M. Strohmaier Florian Lemmerich AAML 11 12 0 23 Dec 2019
Network Embedding: An Overview Nino Arsov G. Mirceva GNN 14 24 0 26 Nov 2019
Effective Decoding in Graph Auto-Encoder using Triadic Closure Han Shi Haozheng Fan James T. Kwok AI4CE 14 39 0 26 Nov 2019
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets Ziqiang Cheng Yang Yang Wei Wang Wenjie Hu Yueting Zhuang Guojie Song AI4TS 17 61 0 11 Nov 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly? Genet Asefa Gesese Russa Biswas Mehwish Alam Harald Sack 22 81 0 28 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 30 105 0 06 Oct 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 22 38 0 22 Aug 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks Manoj Reddy Dareddy Mahashweta Das Hao Yang 18 25 0 22 Aug 2019
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 16 9 0 05 Jul 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang S. Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 13 325 0 12 Jun 2019
On the Use of ArXiv as a Dataset Colin B. Clement Matthew Bierbaum K. O’Keeffe Alexander A. Alemi AI4CE 8 128 0 30 Apr 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 12 149 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 18 54 0 19 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 156 8,356 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,396 0 20 Dec 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods Aakash Sinha Rémy Cazabet Rémi Vaudaine 11 9 0 11 Oct 2018
Applications of Graph Integration to Function Comparison and Malware Classification M. Slawinski Andy Wortman 9 2 0 11 Oct 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 11 26 0 15 Sep 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 21 29 0 23 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Jian Yang GNN 17 12 0 16 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings O. Ganea Gary Bécigneul Thomas Hofmann 13 262 0 03 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 171 0 03 Apr 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 20 77 0 26 Feb 2018