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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Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio Alessandro Barp Christian Jutten Mark Girolami 21 0 0 29 Nov 2023
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs Xingtong Yu Chang Zhou Yuan Fang Xinming Zhang 25 29 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding Peng Xia Xingtong Yu Ming Hu Lie Ju Zhiyong Wang Peibo Duan Zongyuan Ge VLM 57 9 0 23 Nov 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 32 7 0 02 Oct 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 29 5 0 24 Sep 2023
Knowledge Graph Embedding: An Overview Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 33 19 0 21 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 17 2 0 16 Sep 2023
Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates Yongseung Jegal Jaewoong Choi Jiho Lee Ki-Su Park Seyoung Lee Janghyeok Yoon 16 1 0 04 Sep 2023
End-to-End Learning on Multimodal Knowledge Graphs Xander Wilcke Peter Bloem Victor de Boer R. V. Veer 31 8 0 03 Sep 2023
Balancing between the Local and Global Structures (LGS) in Graph Embedding Jacob Miller Vahan Huroyan Stephen Kobourov 14 3 0 31 Aug 2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation Meng Yuan Fuzhen Zhuang Zhao Zhang Deqing Wang Jin Dong 36 3 0 29 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Network Embedding Using Sparse Approximations of Random Walks Paula Mercurio Di Liu 21 0 0 25 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 24 1 0 19 Aug 2023
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding Yan Zheng Junpeng Wang Chin-Chia Michael Yeh Yujie Fan Huiyuan Chen Liang Wang Wei Zhang 20 2 0 02 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 26 8 0 24 Jul 2023
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning Lucas Jarnac Miguel Couceiro Pierre Monnin 27 9 0 28 Jun 2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method Shuo Han Jiachegn Liu Jiayun Wu Yinan Chen Li Tao 19 0 0 20 Jun 2023
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives Hamed Rahimi Hubert Naacke Camélia Constantin B. Amann 23 0 0 04 Jun 2023
Bounded Projection Matrix Approximation with Applications to Community Detection Zheng Zhai Hengchao Chen Qiang Sun 11 2 0 21 May 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications Lyle Regenwetter Yazan Abu Obaideh Faez Ahmed 26 2 0 18 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 16 0 0 10 May 2023
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare Christos Theodoropoulos N. Mulligan T. Stappenbeck Joao H. Bettencourt-Silva 16 5 0 09 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning E. Lee Joyce C. Ho 29 2 0 04 May 2023
Graph Embedding Augmented Skill Rating System Jiasheng Wang 22 1 0 17 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 54 141 0 11 Apr 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing Nikolai Merkel R. Mayer Tawkir Ahmed Fakir Hans-Arno Jacobsen 29 5 0 11 Apr 2023
High-Throughput Vector Similarity Search in Knowledge Graphs J. Mohoney Anil Pacaci S. R. Chowdhury Ali Mousavi Ihab F. Ilyas U. F. Minhas Jeffrey Pound Theodoros Rekatsinas 28 25 0 04 Apr 2023
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 42 12 0 02 Apr 2023
Efficient distributed representations beyond negative sampling Lorenzo DallÁmico Enrico Belliardo 11 1 0 30 Mar 2023
TraffNet: Learning Causality of Traffic Generation for What-if Prediction Ming Xu Qiang Ai Ruimin Li Yunyi Ma Geqi Qi Xiangfu Meng Haibo Jin 11 0 0 28 Mar 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 13 11 0 28 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 30 3 0 22 Mar 2023
LaSER: Language-Specific Event Recommendation Sara Abdollahi Simon Gottschalk Elena Demidova 21 4 0 24 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 42 56 0 22 Feb 2023
Link Prediction on Latent Heterogeneous Graphs Trung-Kien Nguyen Zemin Liu Yuan Fang 21 8 0 21 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 27 5 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 27 135 0 16 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 40 12 0 13 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 27 25 0 08 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 24 28 0 06 Feb 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 32 5 0 06 Feb 2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network Jinyu Cai Yi Han Wenzhong Guo Jicong Fan 44 7 0 05 Feb 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 21 3 0 20 Jan 2023
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers M. Stranisci Giuseppe Spillo C. Musto V. Patti Rossana Damiano 4 4 0 21 Dec 2022