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- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
- Journal of Graph Theory
- Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- International Workshop on Graph-Theoretic Concepts in Computer Science (WG)
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Publication search results
found 100,321 matches
- 2023
- John N. Mordeson, Sunil Mathew, G. Gayathri:
Fuzzy Graph Theory - Applications to Global Problems. Springer 2023, ISBN 978-3-031-23107-0, pp. 1-250 - Zheyuan Wang:
Learning Dynamic Priority Scheduling Policies with Graph Attention Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - Muhammad Umer Anwaar:
Leveraging Representation Learning for Multi-Modal and Graph-Structured Data / Muhammad Umer Anwaar ; Gutachter: Martin Kleinsteuber, Eckehard Steinbach ; Betreuer: Martin Kleinsteuber. Technical University of Munich, Germany, 2023 - Russa Biswas:
Embedding Based Link Prediction for Knowledge Graph Completion. Karlsruhe Institute of Technology, Germany, 2023 - Simon Wein:
Applications of Spatio-Temporal Graph Neural Network Models for Brain Connectivity Analysis. University of Regensburg, Germany, 2023 - Siwei Liu:
Effective graph representation learning for ranking-based recommendation. University of Glasgow, UK, 2023 - Surabhi Jagtap:
Multilayer Graph Embeddings for Omics Data Integration in Bioinformatics. (Plongement de graphes multicouches pour l'intégration de données omiques en bioinformatique). University of Paris-Saclay, France, 2023 - Mahdieh Hasheminezhad, Brendan D. McKay:
Factorisation of the complete graph into spanning regular factors. Adv. Appl. Math. 146: 102487 (2023) - Anupam Biswas, Bhaskar Biswas:
Chapter One - CESDAM: Centered subgraph data matrix for large graph representation. Adv. Comput. 128: 1-38 (2023) - Soumita Das, Anupam Biswas:
Chapter Four - Analyzing correlation between quality and accuracy of graph clustering. Adv. Comput. 128: 135-163 (2023) - Fitsum Gebreegziabher, Ripon Patgiri:
Chapter Sixteen - The major challenges of big graph and their solutions: A review. Adv. Comput. 128: 399-421 (2023) - V. S. Nageswara Rao Kadiyala, Ripon Patgiri:
Chapter Seventeen - An investigation on socio-cyber crime graph. Adv. Comput. 128: 423-443 (2023) - Samiya Khan
, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam:
Chapter Two - Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications. Adv. Comput. 128: 39-105 (2023) - Rahul Chandra Kushwaha:
Chapter Twelve - Big graph based online learning through social networks. Adv. Comput. 128: 313-328 (2023) - Sabuzima Nayak, Ripon Patgiri
:
Chapter Five - geneBF: Filtering protein-coded gene graph data using Bloom filter. Adv. Comput. 128: 165-183 (2023) - U. Kartheek Chandra Patnaik, Ripon Patgiri:
Chapter Seven - MapReduce based convolutional graph neural networks: A comprehensive review. Adv. Comput. 128: 213-231 (2023) - Saurabh Kumar Srivastava, Ankit Vidyarthi, Sandeep Kumar Singh
:
Chapter Eleven - Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi-label text classification on big social network graph data. Adv. Comput. 128: 287-312 (2023) - Omar Saif Musabbeh Bin Hamed Almazrouei, Pritheega Magalingam, Mohammad Kamrul Hasan, Mohana Shanmugam:
A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions. IEEE Access 11: 44350-44376 (2023) - Khaled Almi'ani
, Young Choon Lee
, Tawfiq Alrawashdeh
, Amirmohammad Pasdar:
Graph-Based Profiling of Blockchain Oracles. IEEE Access 11: 24995-25007 (2023) - Gábor Antal
, Péter Hegedüs
, Zoltán Herczeg, Gábor Lóki, Rudolf Ferenc
:
Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools. IEEE Access 11: 25266-25284 (2023) - Simay Atasoy, Osman Kaan Karagöz, Mustafa Mert Ankarali:
Trajectory-Free Motion Planning of an Unmanned Surface Vehicle Based on MPC and Sparse Neighborhood Graph. IEEE Access 11: 47690-47700 (2023) - Ji-Won Baek
, Kyungyong Chung
:
Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks. IEEE Access 11: 15153-15163 (2023) - Joshua Dennis Booth
, Gregory Bolet
:
Neural Acceleration of Graph Based Utility Functions for Sparse Matrices. IEEE Access 11: 31619-31635 (2023) - Yingpei Chen
, Yan Tang
, Yuan Yuan
:
Attention-Enhanced Graph Neural Networks With Global Context for Session-Based Recommendation. IEEE Access 11: 26237-26246 (2023) - Hyunhee Choi, Hayun Lee
, Minjeong Lee
:
Optimal Knowledge Component Extracting Model for Knowledge-Concept Graph Completion in Education. IEEE Access 11: 15002-15013 (2023) - Zhaojian Cui
, Zhenming Yuan
, Yingfei Wu, Xiaoyan Sun
, Kai Yu:
Intelligent Recommendation for Departments Based on Medical Knowledge Graph. IEEE Access 11: 25372-25385 (2023) - Thanh Cong Do, Hyung-Jeong Yang
, Guee-Sang Lee
, Soo-Hyung Kim
, Bo-Gun Kho:
Rapid Response System Based on Graph Attention Network for Predicting In-Hospital Clinical Deterioration. IEEE Access 11: 29091-29100 (2023) - Liyan Dong
, Guangtong Zhu
, Yuequn Wang
, Yongli Li, Jiayao Duan, Minghui Sun
:
A Graph Positional Attention Network for Session-Based Recommendation. IEEE Access 11: 7564-7573 (2023) - Yongchun Gu
, Yi Wang, Heng-Ru Zhang
, Jiao Wu
, Xingquan Gu:
Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph. IEEE Access 11: 20169-20183 (2023) - Hakim Hafidi
, Philippe Ciblat
, Mounir Ghogho
, Ananthram Swami:
Graph-Assisted Bayesian Node Classifiers. IEEE Access 11: 23989-24002 (2023)
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retrieved on 2023-05-30 10:44 CEST from data curated by the dblp team
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