Neighbourhood Degree-Based Graph Descriptors: A Comprehensive Analysis of Connectivity Patterns in Diverse Graph Families and Their Applicapability

Authors: Abdu Alameri, Abid Mahboob, Emad Toma Karash

Source: Acadlore Transactions on Applied Mathematics and Statistics. 2:52-63

Subject Terms: Mathematical analysis, 7. Clean energy, Graph, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Graph Neural Networks, Signal Processing on Graphs, Degree (music), Power graph analysis, Neighbourhood (mathematics), Geography, Physics, Knowledge Graph Embedding, Statistical and Nonlinear Physics, Acoustics, Computer science, Physics and Astronomy, Computational Theory and Mathematics, Graph Theory, Physical Sciences, Computer Science, Statistical Mechanics of Complex Networks, Graph Neural Network Models and Applications, Mathematics, Graph Theory and Algorithms

Predicting an Optimal Virtual Data Model for Uniform Access to Large Heterogeneous Data

Authors: Chahrazed B. Bachir Belmehdi, Ali Khiat, Nabil Keskes

Source: Data Intelligence. 6:504-530

Subject Terms: FOS: Computer and information sciences, Big Data, Large-scale Graphs, 02 engineering and technology, Cloud Computing and Big Data Technologies, SPARQL, Search engine, Graph, RDF, Database, Big data, Theoretical computer science, Data warehouse, Artificial Intelligence, Virtualization, Sargable, 0202 electrical engineering, electronic engineering, information engineering, Graph Matching and Analysis Techniques, Data virtualization, Information retrieval, Cloud computing, Data mining, Semantic Web, Query plan, Scalability, Computer science, Programming language, Relational Data Modeling, Operating system, Computer Science, Physical Sciences, SPARK (programming language), Web search query, Computer Vision and Pattern Recognition, Graph Neural Network Models and Applications, Information Systems

Computing Topological Indices of 3-Layered Artificial Neural Network

Authors: V Gayathiri, A Manimaran

Source: Contemporary Mathematics. :1135-1149

Subject Terms: Artificial neural network, Artificial intelligence, Time delay neural network, Probabilistic neural network, Representation Learning, 7. Clean energy, Graph, Statistical Topology, Artificial Intelligence, FOS: Mathematics, Signal Processing on Graphs, Artificial Neural Networks, Probabilistic logic, Topology (electrical circuits), Shape Analysis, 4. Education, Neural Network Fundamentals and Applications, Discrete mathematics, Computer science, Stochastic neural network, Vertex (graph theory), Algorithm, Topological Data Analysis in Science and Engineering, Computational Theory and Mathematics, Combinatorics, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Mathematics

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning

Authors: Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang

Source: ACM Transactions on Knowledge Discovery from Data. 18:1-23

Subject Terms: Artificial intelligence, Semi-Supervised Learning, 4. Education, Feature learning, Unsupervised Learning, Representation Learning, Transfer Learning, 02 engineering and technology, 15. Life on land, Adversarial system, Pattern recognition (psychology), Computer science, Graph, Theoretical computer science, Advances in Transfer Learning and Domain Adaptation, Artificial Intelligence, Computer Science, Physical Sciences, Semi-supervised learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Regularization (linguistics), Graph Neural Network Models and Applications, Signal Processing on Graphs, 10. No inequality

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling

Authors: Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

Source: ACM Transactions on Multimedia Computing, Communications, and Applications. 20:1-19

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Semi-Supervised Learning, Robustness (evolution), Representation Learning, 02 engineering and technology, Leverage (statistics), Biochemistry, Gene, 7. Clean energy, Graph, Deep Learning, Theoretical computer science, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Data mining, 4. Education, Knowledge Graph Embedding, Statistical and Nonlinear Physics, 16. Peace & justice, Computer science, Relational Data Modeling, Chemistry, Recommender System Technologies, Physics and Astronomy, Computer Science, Physical Sciences, Semi-supervised learning, Statistical Mechanics of Complex Networks, Graph Neural Network Models and Applications, Information Systems, Labeled data

Align-then-Enhance: Multilingual Entailment Graph Enhancement with Soft Predicate Alignment

Authors: Yuting Wu, Yutong Hu, Yansong Feng, Tianyi Li, Mark Steedman, Dongyan Zhao

Source: Findings of the Association for Computational Linguistics: ACL 2023

Subject Terms: Syntax-based Translation Models, Textual entailment, Logical consequence, Predicate (mathematical logic), Artificial intelligence, Topic Modeling, Natural language processing, Knowledge Graph Embedding, Statistical Machine Translation and Natural Language Processing, Computer science, Graph, Programming language, Theoretical computer science, Artificial Intelligence, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Signal Processing on Graphs, Natural Language Processing

A Schematic Review of Knowledge Reasoning Approaches Based on the Knowledge Graph

Authors: I. Vergara, Liza Chung Lee

Source: Journal of Enterprise and Business Intelligence. :179-189

Subject Terms: Data Quality Assessment and Improvement, 0301 basic medicine, Artificial intelligence, Schematic, Knowledge management, FOS: Political science, Social Sciences, FOS: Law, 02 engineering and technology, Management Science and Operations Research, Knowledge Representation, Pace, 7. Clean energy, Decision Sciences, Data science, Semantic Analysis, 03 medical and health sciences, Engineering, Artificial Intelligence, Personal knowledge management, Descriptive knowledge, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Graph Neural Networks, Signal Processing on Graphs, Political science, Knowledge engineering, Knowledge graph, Geography, Electronic engineering, 9. Industry and infrastructure, 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Realm, Organizational learning, Knowledge Graph Embedding, 15. Life on land, Knowledge representation and reasoning, Computer science, World Wide Web, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Open Knowledge Base Connectivity, Law, The Internet, Geodesy

ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation

Authors: Hao Luo, Nor Azura Husin, Teh Noranis Mohd Aris

Source: IEEE Access, Vol 11, Pp 9691-9700 (2023)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, MOOCs, 02 engineering and technology, Pairwise comparison, 7. Clean energy, Graph, Hyperbolic space, graph contrastive learning, Context-Aware Recommender Systems, Theoretical computer science, Artificial Intelligence, manifold learning, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Recommender system, Signal Processing on Graphs, 10. No inequality, 4. Education, Pure mathematics, Content-Based Recommendation, Discriminative model, 15. Life on land, Computer science, Learning Analytics, TK1-9971, Computer Science Applications, Recommender System Technologies, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Graph Neural Network Models and Applications, Educational Data Mining and Learning Analytics, Mathematics, Information Systems

Access URL: https://doaj.org/article/495bbe7c30424c0399abaa7332d6fb7c

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning

Authors: Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, Yanping Zhao, Tao Shen, Chongyang Tao

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :7088-7102

Subject Terms: Cognitive science, Artificial intelligence, Generative grammar, Volume (thermodynamics), Association (psychology), Organic chemistry, Representation Learning, Epistemology, Knowledge Representation, Quantum mechanics, Artificial Intelligence, Psychology, Event (particle physics), 10. No inequality, Natural Language Processing, Topic Modeling, 9. Industry and infrastructure, Natural language processing, Physics, 4. Education, Zero (linguistics), Linguistics, Prefix, Named Entity Recognition, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Shot (pellet), FOS: Psychology, Relational Data Modeling, Philosophy, Chemistry, Computer Science, Physical Sciences, FOS: Languages and literature, Graph Neural Network Models and Applications, Semantic Web and Ontology Development

Improving Knowledge Graph Completion with Generative Hard Negative Mining

Authors: Zile Qiao, Wei Ye, Dingyao Yu, Tong Mo, Weiping Li, Shikun Zhang

Source: Findings of the Association for Computational Linguistics: ACL 2023. :5866-5878

Subject Terms: FOS: Computer and information sciences, Rough Sets Theory and Applications, Artificial intelligence, Generative grammar, Representation Learning, Leverage (statistics), Graph, Theoretical computer science, Artificial Intelligence, Information Granulation, Data Mining Techniques and Applications, Genetics, Information retrieval, Signal Processing on Graphs, Biology, Knowledge graph, Natural language processing, Knowledge Graph Embedding, Computer science, Computational Theory and Mathematics, FOS: Biological sciences, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Knowledge Reduction, Information Systems, Sequence (biology)

SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework

Authors: Daksh Dave, Aditya Sharma, Shafi'i Muhammad Abdulhamid, Adeel Ahmed, Adnan Akhunzada, Rashid Amin

Source: IEEE Access, Vol 11, Pp 76751-76767 (2023)
Dave, D, Sharma, A, Abdulhamid, S M, Ahmed, A, Akhunzada, A & Amin, R 2023, ' SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework ', IEEE Access, vol. 11, pp. 76751-76767 . https://doi.org/10.1109/ACCESS.2023.3296466

Subject Terms: FOS: Computer and information sciences, Mean reciprocal rank, Computer Networks and Communications, Information privacy, Trust-Aware Recommender Systems, Link prediction, Mobile device, privacy, Graph, Computer Science - Information Retrieval, semantic information, Context-Aware Recommender Systems, Theoretical computer science, Artificial Intelligence, Recommender System, Information retrieval, Signal Processing on Graphs, Recommender system, Content-Centric Networking for Information Delivery, link prediction, Knowledge graph, mobile apps, recommender system, Social and Information Networks (cs.SI), Knowledge Graph Embedding, Content-Based Recommendation, Computer Science - Social and Information Networks, Computer science, TK1-9971, World Wide Web, Recommender System Technologies, Privacy, Semantic information, Computer Science, Physical Sciences, Mobile apps, Internet privacy, Electrical engineering. Electronics. Nuclear engineering, Graph Neural Network Models and Applications, Information Retrieval (cs.IR), Information Systems

File Description: application/pdf

Access URL: http://arxiv.org/abs/2309.17115
https://doaj.org/article/3e5f1a1bfa6d40ab81c127dd2186af12
https://orbit.dtu.dk/en/publications/974f019d-b73a-4671-89a8-939e198d1718

Research on Intelligent Organization and Application of Multi-source Heterogeneous Knowledge Resources for Energy Internet

Authors: Yuxuan Wang, Liqun Luo, Guangjian Li

Source: Data Intelligence. 5:75-99

Subject Terms: 0301 basic medicine, Artificial intelligence, Knowledge integration, Knowledge management, Resource (disambiguation), Geometry, Knowledge Representation, 7. Clean energy, Data science, 03 medical and health sciences, Artificial Intelligence, 11. Sustainability, Graph Matching and Analysis Techniques, FOS: Mathematics, Information retrieval, Grid, Knowledge engineering, Knowledge graph, Computer network, 05 social sciences, Knowledge Graph Embedding, XML, Knowledge organization, Knowledge representation and reasoning, Computer science, World Wide Web, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Graph Neural Network Models and Applications, 0509 other social sciences, Semantic Web and Ontology Development, The Internet, Mathematics

Dialogue Summarization with Static-Dynamic Structure Fusion Graph

Authors: Shen Gao, Xiuzhen Cheng, Mingzhe Li, Xiuying Chen, Jinpeng Li, Dongyan Zhao, Rui Yan

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :13858-13873

Subject Terms: Artificial intelligence, Topic Modeling, Natural language processing, Statistical Machine Translation and Natural Language Processing, Automatic summarization, 16. Peace & justice, Computer science, Graph, Theoretical computer science, Artificial Intelligence, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Signal Processing on Graphs, Natural Language Processing

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs

Authors: X. Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan

Source: Findings of the Association for Computational Linguistics: ACL 2023. :8683-8696

Subject Terms: Data Quality Assessment and Improvement, Relation (database), Relationship extraction, Artificial intelligence, Social Sciences, Management Science and Operations Research, Graph, Decision Sciences, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Signal Processing on Graphs, Data mining, Natural Language Processing, Knowledge graph, Geography, Statistics, Knowledge Graph Embedding, 16. Peace & justice, Named Entity Recognition, Computer science, Relational Data Modeling, Heterogeneous Networks, Computer Science, Physical Sciences, Matching (statistics), Graph Neural Network Models and Applications, Benchmark (surveying), Mathematics, Geodesy, Embedding

Graph-Assisted Bayesian Node Classifiers

Authors: Hakim Hafidi, Philippe Ciblat, Mounir Ghogho, Ananthram Swami

Source: IEEE Access, Vol 11, Pp 23989-24002 (2023)

Subject Terms: attributed graphs, Graphical Models, Artificial intelligence, Learning and Inference in Bayesian Networks, 02 engineering and technology, Bayesian probability, Pattern recognition (psychology), Graph, Node classification, Theoretical computer science, Artificial Intelligence, Graph Convolutional Networks, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Graph Neural Networks, Signal Processing on Graphs, Data mining, 4. Education, Knowledge Graph Embedding, degree of impurity, Statistical and Nonlinear Physics, Computer science, TK1-9971, Bayesian framework, Physics and Astronomy, Computer Science, Physical Sciences, Statistical Mechanics of Complex Networks, Electrical engineering. Electronics. Nuclear engineering, Graph Neural Network Models and Applications, Classifier (UML)

Access URL: https://doaj.org/article/f60ff0f015164a0e8770844679ffd5c5

A Subspace Constraint based Approach for Fast Hierarchical Graph Embedding

Authors: Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du

Source: World Wide Web. 26:3691-3705

Subject Terms: Artificial intelligence, Economics, Geometry, Structural engineering, Representation Learning, Node (physics), Network Embedding, Graph, Database, Theoretical computer science, Engineering, Artificial Intelligence, Hierarchy, Market economy, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Constraint (computer-aided design), Signal Processing on Graphs, Scalability, Feature learning, Knowledge Graph Embedding, Statistical and Nonlinear Physics, Computer science, Subspace topology, Physics and Astronomy, Heterogeneous Networks, Graph embedding, Computer Science, Physical Sciences, Statistical Mechanics of Complex Networks, Graph Neural Network Models and Applications, Mathematics, Embedding

GMPP-NN: a deep learning architecture for graph molecular property prediction

Authors: Outhman Abbassi, S. Ziti, Meryam Belhiah, Souad Najoua Lagmiri, Yassine Zaoui Seghroucheni

Source: Discover Applied Sciences. 6

Subject Terms: 0301 basic medicine, Artificial intelligence, Materials Science, Epistemology, Network Embedding, Graph, 03 medical and health sciences, Deep Learning, Theoretical computer science, Artificial Intelligence, Architecture, Machine learning, Materials Chemistry, Graph Neural Networks, Signal Processing on Graphs, 0303 health sciences, Geography, Accelerating Materials Innovation through Informatics, Knowledge Graph Embedding, Deep learning, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Computational Theory and Mathematics, Archaeology, Computer Science, Physical Sciences, Property (philosophy), Graph Neural Network Models and Applications, FOS: Civil engineering, Computational Methods in Drug Discovery

Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder

Authors: S. Abinaya, A. Sherly Alphonse, S. Abirami, M. K. Kavithadevi

Source: Neural Processing Letters. 55:6843-6864

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Economics, Collaborative filtering, Trust-Aware Recommender Systems, 02 engineering and technology, Preference, Data science, Context-Aware Recommender Systems, Context (archaeology), Engineering, Artificial Intelligence, Machine learning, Microeconomics, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, User Modeling, Recommender system, Biology, Content-Centric Networking for Information Delivery, Personalization, Human–computer interaction, Content-Based Recommendation, Paleontology, Deep learning, Autoencoder, Computer science, World Wide Web, Aerospace engineering, Recommender System Technologies, Collaborative Filtering, Computer Science, Physical Sciences, Cold start (automotive), Graph Neural Network Models and Applications, Information Systems

Graph embedding on mass spectrometry- and sequencing-based biomedical data

Authors: Edwin Alvarez-Mamani, Reinhard Dechant, César Beltrán, Alfredo J. Ibáñez

Source: BMC Bioinformatics
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)

Subject Terms: Data Analysis, FOS: Computer and information sciences, 0301 basic medicine, Artificial intelligence, Biological network, Review, 7. Clean energy, Mass Spectrometry, Graph, Data science, Computational biology, Context (archaeology), Protein Interaction Maps, Biology (General), Signal Processing on Graphs, Visualization, 0303 health sciences, Life Sciences, 16. Peace & justice, Analysis of Gene Interaction Networks, 3. Good health, Biological data, Graph embedding, Physical Sciences, Graph Neural Network Models and Applications, Algorithms, Embedding, QH301-705.5, Bioinformatics, Computer applications to medicine. Medical informatics, R858-859.7, Epigenetic Modifications and Their Functional Implications, Network Embedding, 03 medical and health sciences, Theoretical computer science, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Machine learning, Humans, Graph Neural Networks, Molecular Biology, Data mining, Biology, Knowledge Graph Embedding, Paleontology, Computer science, Biomedical data, Biological Network Integration, Computer Science, Social Media

Access URL: https://pubmed.ncbi.nlm.nih.gov/38166530
https://doaj.org/article/0ac19e335e13460d9155682727e86283

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning

Authors: Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen

Source: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. :1516-1524

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Artificial Intelligence, Classification of Brain Tumor Type and Grade, Representation Learning, 02 engineering and technology, Mathematical analysis, Graph, Theoretical computer science, Inference, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Signal Processing on Graphs, Natural Language Processing, Distillation, Scheme (mathematics), Chromatography, Dual (grammatical number), Life Sciences, Knowledge Graph Embedding, Transfer Learning, Computer science, Chemistry, Artificial Intelligence (cs.AI), Neurology, Literature, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Mathematics, Art, Neuroscience, Embedding

Access URL: http://arxiv.org/abs/2009.05912