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2025	Proceedings of the 2025 International Conference on Multimedia Retrieval Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li
2025	2025 12th International Conference on Computing for Sustainable Global Development (INDIACom) Mangaiyarkarasi K, Uma Priyadarsini P. S.
2025	Enhancing Intelligent HVAC optimization with graph attention networks and stacking ensemble learning, a recommender system approach in Shenzhen Qianhai Smart Community Scientific Reports Yuan He, Ali B. M. Ali, Saman Ahmad Aminian, Kamal Sharma, Saurav Dixit, Sakshi Sobti, Rifaqat Ali, M. Ahemedei, Husam Rajab, Maryam Alsadat Ziaei Mazinan
2025	2025 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) Hansa J Thattil, Arun Kumar M N
2025	Estimating Page Ranks with Inductive Capability of Graph Neural Networks and Zone Partitioning in Information Retrieval Automatic Control and Computer Sciences Fargana Abdullayeva, Suleyman Suleymanzade
2025	Vertical Memristive Crossbar Array for Multilayer Graph Embedding and Analysis Advanced Materials Janguk Han, Yoon Ho Jang, Ji Won Moon, Sung Keun Shim, Sunwoo Cheong, Soo Hyung Lee, Tae Won Park, Joon‐Kyu Han, Cheol Seong Hwang
2025	Lecture Notes in Computer Science Kin Wai NG, Orcun Yildiz, Tom Peterka, Florence Tama, Osamu Miyashita, Catherine Schuman, Michela Taufer
2025	Advanced graph embedding for intelligent heating, ventilation, and air conditioning optimization: An ensemble learning-based recommender system Case Studies in Thermal Engineering Shouliang Lai, Xiyu Yi, Peiling Zhou, Lu Peng, Wentao Liu, Shi Sun, Binrong Huang
2025	Protein interaction prediction for Alzheimer’s disease using a multi-source protein features fusion framework Informatics and Health Shi-Rui Yu, Xue-Mei Yang, Yi-Nan Sun, Yong-Jie Li, Yu-Yang Liu, Xiao-Li Tang
2025	The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication PeerJ Computer Science Ahmad R. Pratama
2025	GRIDSNET: A graph neural network approach to predicting nonlinear buckling capacity of imperfect single-layer gridshells Thin-Walled Structures Chenyu Wu, Shouchao Jiang, Shaojun Zhu
2025	Lecture Notes in Computer Science Marzena Bielecka, Andrzej Bielecki, Aleksander Suchorab, Igor Wojnicki
2025	Binary stretch embedding of weighted graphs Designs, Codes and Cryptography Javad Ebrahimi Boroojeni, Mehri Oghbaei Bonab
2025	Enhancing Anomaly Detection in Attributed Networks Using Proximity Preservation and Advanced Embedding Techniques IEEE Access Wasim Khan, Mohammad Ishrat, Mohammad Nadeem Ahmed, Shafiqul Abidin, Mohammad Husain, Mohd Izhar, Abu Taha Zamani, Mohammad Rashid Hussain, Arshad Ali
2025	Graph Neural Networks: Essentials and Use Cases Vaishnavi P. Bhat, T. R. Harsha, S. K. Vinay
2024	Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embedding Ain Shams Engineering Journal Zeinab Shokrzadeh, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, Jamshid Bagherzadeh Mohasefi
2024	2024 International Conference on Engineering and Emerging Technologies (ICEET) Khalid Munir, Nadia Khan, Mansoor Iqbal, Nasser Shebka, Saad Alahmari, Daniyal Shakir
2024	Effect of second-order network structure on link prediction Physica A: Statistical Mechanics and its Applications Xing Huang, Tian Qiu, Guang Chen
2024	Lecture Notes in Computer Science Michael Mittermaier, Takfarinas Saber, Goetz Botterweck
2024	Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks Water Research Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, Riccardo Taormina
2024	IFIP Advances in Information and Communication Technology Harald Kitzmann, Anna Strimovskaya, Elena Serova
2024	DDK-Linker: a network-based strategy identifies disease signals by linking high-throughput omics datasets to disease knowledge Briefings in Bioinformatics Xiangren Kong, Lihong Diao, Peng Jiang, Shiyan Nie, Shuzhen Guo, Dong Li
2024	Graph pooling in graph neural networks: methods and their applications in omics studies Artificial Intelligence Review Yan Wang, Wenju Hou, Nan Sheng, Ziqi Zhao, Jialin Liu, Lan Huang, Juexin Wang
2024	Estimating network dimension when the spectrum struggles Royal Society Open Science Peter Grindrod, Desmond J. Higham, Henry-Louis de Kergorlay
2024	Collaborative Graph Neural Networks for Attributed Network Embedding IEEE Transactions on Knowledge and Data Engineering Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024	Graph embedding on mass spectrometry- and sequencing-based biomedical data BMC Bioinformatics Edwin Alvarez-Mamani, Reinhard Dechant, César A. Beltran-Castañón, Alfredo J. Ibáñez
2024	An effective keyword search co-occurrence multi-layer graph mining approach Machine Learning Janet Oluwasola Bolorunduro, Zhaonian Zou, Mohamed Jaward Bah
2024	A novel deep neural network-based technique for network embedding PeerJ Computer Science Sabrina Benbatata, Bilal Saoud, Ibraheem Shayea, Naif Alsharabi, Abdulraqeb Alhammadi, Ali Alferaidi, Amr Jadi, Yousef Ibrahim Daradkeh
2024	Deep non-negative matrix factorization with edge generator for link prediction in complex networks Applied Intelligence Yabing Yao, Yangyang He, Zhentian Huang, Zhipeng Xu, Fan Yang, Jianxin Tang, Kai Gao
2024	An evolving learning style detection approach for online education using bipartite graph embedding Applied Soft Computing Bello Ahmad Muhammad, Chao Qi, Zhenqiang Wu, Hafsa Kabir Ahmad
2024	Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection IEEE Open Journal of the Industrial Electronics Society Vadim Lanko, Ilya Makarov
2024	Lecture Notes in Computer Science Hakan Hakvar, Cansu Cavuldak, Oğulcan Söyler, Yusuf Subaşı, Yıldız Karadayı, Ilgın Şafak, Nail Taşgetiren, Mehmet S. Aktaş
2024	Utterance-Aware Adaptive Data Labeling and Summarization: Exploiting Large Language Models for Unbiased Dialog Annotation IEEE Access Nikita Glazkov, Ilya Makarov
2024	Leveraging tabular GANs for malicious address classification in ethereum network Computer Networks Muhammad Ahtazaz Ahsan, Amna Arshad, Adnan Noor Mian
2024	An Attribute Graph Embedding Algorithm for Sensing Topological and Attribute Influence Mathematics Dongming Chen, Shuyue Zhang, Yumeng Zhao, Mingzhao Xie, Dongqi Wang
2024	Lecture Notes in Computer Science Qiang Sun, Du Q. Huynh, Mark Reynolds, Wei Liu
2024	An embedding-based distance for temporal graphs Nature Communications Lorenzo Dall’Amico, Alain Barrat, Ciro Cattuto
2023	A new approach to software vulnerability detection based on CPG analysis Cogent Engineering Cho Do Xuan
2023	Fast Approximate Convex Hull Construction in Networks via Node Embedding IEEE Access Dmitrii Gavrilev, Ilya Makarov
2023	Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems Journal of Intelligent & Fuzzy Systems Cho Do Xuan, Hoa Dinh Nguyen
2023	Improving node embedding by a compact neighborhood representation Neural Computing and Applications Ikenna Victor Oluigbo, Hamida Seba, Mohammed Haddad
2023	Global Attention-Based Graph Neural Networks for Node Classification Neural Processing Letters Jiusheng Chen, Chengyuan Fang, Xiaoyu Zhang
2023	Local intrinsic dimensionality measures for graphs, with applications to graph embeddings Information Systems Miloš Savić, Vladimir Kurbalija, Miloš Radovanović
2023	Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom IEEE Access Olga Gerasimova, Nikita Severin, Ilya Makarov
2023	A large-scale data security detection method based on continuous time graph embedding framework Journal of Cloud Computing Zhaowei Liu, Weishuai Che, Shenqiang Wang, Jindong Xu, Haoyu Yin
2023	Graph Representation Learning and Its Applications: A Survey Sensors Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee
2023	Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning IEEE Access Xinze Li, Ilya Makarov, Dmitrii Kiselev
2023	Lecture Notes in Networks and Systems Hakan Hakvar, Cansu Cavuldak, Oğulcan Söyler, Yıldız Karadayı, Mehmet S. Aktaş
2023	2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI) Alexander Andreevskiy, Ilya Makarov
2023	Regularized online tensor factorization for sparse knowledge graph embeddings Neural Computing and Applications Unai Zulaika, Aitor Almeida, Diego López-de-Ipiña
2023	2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI) Kristina Motuzenko, Ilya Makarov
2023	Lecture Notes in Computer Science Evgeniia Ondar, Ilya Makarov
2022	A novel framework for semantic classification of cyber terrorist communities on Twitter Engineering Applications of Artificial Intelligence Firas Saidi, Zouheir Trabelsi, Eswari Thangaraj
2022	2022 The 5th International Conference on Software Engineering and Information Management (ICSIM) Shotaro Kawasaki, Ryosuke Motegi, Shogo Matsuno, Yoichi Seki
2022	Deep Attributed Network Embedding via Weisfeiler-Lehman and Autoencoder IEEE Access Amr Thabit Al-Furas, Mohammed F. Alrahmawy, Waleed Mohamed Al-Adrousy, Samir Elmougy
2022	Temporal network embedding framework with causal anonymous walks representations PeerJ Computer Science Ilya Makarov, Andrey Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev
2022	Exploration in Sequential Recommender Systems via Graph Representations IEEE Access Dmitrii Kiselev, Ilya Makarov
2022	Lecture Notes in Computer Science Olga Gerasimova, Anna Lapidus, Ilya Makarov
2022	2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo) Konstantin Shmyrev, Ilya Makarov
2022	Lecture Notes in Computer Science Evgeniya Zavorina, Ilya Makarov
2022	Lecture Notes in Computer Science Diana Zagidullina, Ilya Makarov
2022	Deep reinforcement learning-based critical element identification and demolition planning of frame structures Frontiers of Structural and Civil Engineering Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Shaohan Zong, Xiaonong Guo
2022	A new approach for APT malware detection based on deep graph network for endpoint systems Applied Intelligence Cho Do Xuan, DT Huong
2022	Graph Representation Learning for Similarity Stocks Analysis Journal of Signal Processing Systems Boyao Zhang, Chao Yang, Haikuo Zhang, Zongguo Wang, Jingqi Sun, Lihua Wang, Yonghua Zhao, Yangang Wang
2022	A survey on graph-based deep learning for computational histopathology Computerized Medical Imaging and Graphics David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2022	An efficient algorithm for isometrically embedding weighted trees into low-dimensional ℓ∞-normed spaces Knowledge-Based Systems Jonathan Queiroz, Tiago Januario
2022	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Paola Lecca, Angela Re
2022	AttCluster-MDGCNs: multiscale dynamic graph convolution networks with an attention cluster for skeletal-based action Multimedia Tools and Applications Hui WU, Shilong WU, Yihu WU, Sha PAN
2022	Evaluating node embeddings of complex networks Journal of Complex Networks Arash Dehghan-Kooshkghazi, Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat, François Théberge
2022	Communications in Computer and Information Science Leonid Sherstyuk, Ilya Makarov
2022	2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo) Anastasia Yashchenko, Ilya Makarov
2022	2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI) Igor Vasilyev, Ilya Makarov
2022	2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI) Marina Pozhidaeva, Ilya Makarov
2021	Fusion of text and graph information for machine learning problems on networks PeerJ Computer Science Ilya Makarov, Mikhail Makarov, Dmitrii Kiselev
2021	2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Ilya Makarov, Gleb Borisenko
2021	Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network Advances in Engineering Software Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Xiaonong Guo
2021	Lecture Notes in Computer Science Anna Beketova, Ilya Makarov
2021	2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI) Ilya Makarov, Denis Zuenko
2021	2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI) Ilya Makarov, Artem Oborevich
2021	Lecture Notes in Computer Science Maria Bakhanova, Ilya Makarov
2021	2021 6th International Conference on Transportation Information and Safety (ICTIS) Hui Wan, Yingjie Xiao, Jianshun Mo, Yi Yu, Huaguang Li
2021	JONNEE: Joint Network Nodes and Edges Embedding IEEE Access Ilya Makarov, Ksenia Korovina, Dmitrii Kiselev
2021	Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature Sensors Giacomo Frisoni, Gianluca Moro, Giulio Carlassare, Antonella Carbonaro
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