Understanding graph embedding methods and their applications

15 December 2020

Papers citing "Understanding graph embedding methods and their applications"

38 / 38 papers shown

Title
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 54 0 0 21 Feb 2025
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction Masoud Kargar Nasim Jelodari Alireza Assadzadeh GNN 37 0 0 09 Nov 2024
An unified approach to link prediction in collaboration networks Juan Sosa Diego Martínez Nicolás Guerrero 30 0 0 01 Nov 2024
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding Xihan Qin Li Liao AI4CE 18 0 0 08 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 30 0 0 02 Oct 2024
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning M. Tanveer Rahul Sharma M. Sajid A. Quadir 31 1 0 07 Sep 2024
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding Yukun Cao Shuo Han Zengyi Gao Zezhong Ding Xike Xie S. Kevin Zhou 40 7 0 05 Sep 2024
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python Xihan Qin Cencheng Shen GNN 38 2 0 06 Jun 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 19 0 0 23 May 2024
A Novel Method for News Article Event-Based Embedding Koren Ishlach Itzhak Ben-David Michael Fire Lior Rokach 32 0 0 20 May 2024
Simplicity within biological complexity Nataša Pržulj N. Malod-Dognin 40 0 0 15 May 2024
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features Samarth Khanna Sree Bhattacharyya Sudipto Ghosh Kushagra Agarwal Asit Kumar Das GNN AI4TS 19 1 0 13 Mar 2024
One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices Marco Chilese Richard Mitev Meni Orenbach Robert Thorburn Ahmad Atamli-Reineh A. Sadeghi 24 4 0 12 Mar 2024
An embedding-based distance for temporal graphs Lorenzo DallÁmico Alain Barrat C. Cattuto 13 3 0 23 Jan 2024
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 26 3 0 16 Jan 2024
Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio' Alessandro Barp Christian Jutten M. Girolami 21 0 0 29 Nov 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 19 5 0 15 Sep 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 0 05 Jul 2023
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints Jie Gao Yawen Li Zhe Xue Zeli Guan 13 0 0 22 Jun 2023
Bounded Projection Matrix Approximation with Applications to Community Detection Zheng Zhai Hengchao Chen Qiang Sun 11 2 0 21 May 2023
Graph Embedding Augmented Skill Rating System Jiasheng Wang 20 1 0 17 Apr 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
Exact and rapid linear clustering of networks with dynamic programming Alice Patania Antoine Allard Jean-Gabriel Young 13 7 0 25 Jan 2023
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces Jiahang Cao Jinyuan Fang Zaiqiao Meng Shangsong Liang 26 60 0 07 Nov 2022
Reliable Malware Analysis and Detection using Topology Data Analysis L. Tidjon Foutse Khomh 27 3 0 03 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 31 0 0 30 Oct 2022
Hub-aware Random Walk Graph Embedding Methods for Classification Aleksandar Tomcic Miloš Savić Miloš Radovanović 11 2 0 15 Sep 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Sarmad N. Mohammed Semra Gunducc 26 1 0 07 Aug 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 15 6 0 24 May 2022
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering Eric Chalmers Artur Luczak 19 5 0 19 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 72 40 0 16 May 2022
Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures Yutong Qu Wei Emma Zhang Jian Yang Lingfei Wu Jia Wu AI4TS 17 7 0 24 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding Fei Chen Gene Cheung Xue Zhang 24 3 0 15 Dec 2021
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs Mengjia Xu Apoorva Vikram Singh George Karniadakis AI4CE 49 9 0 28 Sep 2021
An Impossibility Theorem for Node Embedding T. Roddenberry Yu Zhu Santiago Segarra 24 0 0 27 May 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 200 746 0 03 Sep 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 245 31,257 0 16 Jan 2013