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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 119,224 matches
- 2025
- Zhen Zhang, Mengqiu Liu, Xiyuan Jia, Gongxun Miao, Xin Wang, Hao Ni, Guohua Wu:
Improving text classification via computing category correlation matrix from text graph. Comput. Speech Lang. 89: 101688 (2025) - Diange Zhou, Shengwen Li, Lijun Dong, Renyao Chen, Xiaoyue Peng, Hong Yao:
C-KGE: Curriculum learning-based Knowledge Graph Embedding. Comput. Speech Lang. 89: 101689 (2025) - Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen:
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. EDBT 2025: 171-184 - Chunwei Miao, Jian Zhang, Jiaqi Huang, Jinhong Yang:
A Graph Neural Network Power Allocation Algorithm Based on Fully Unrolled WMMSE. WoWMoM 2025: 138-146 - 2024
- Nicolas Tremblay:
Graph signals, structures and sketches. Grenoble Alpes University, France, 2024 - Khee Meng Koh, Fengming Dong, Eng Guan Tay:
Introduction to Graph Theory - With Solutions to Selected Problems. WorldScientific 2024, ISBN 9789811284816, pp. 1-308 - Ananda S. Chakraborti:
Graph-based Model Reduction of Machine System Digital Twins. University of Tampere, Finland, 2024 - Sijin Cheng
:
Query Processing over Heterogeneous Federations of Graph Data. Linköping University, Sweden, 2024 - Osman Emre Dai:
Fundamental Limits and Algorithms for Database and Graph Alignment. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Helal El-Zaatari:
Method of moments for exponential Random Graph Model Selection. University of North Carolina, Chapel Hill, USA, 2024 - Lukas Faber:
Explaining and Improving Communication in Graph Neural Networks. ETH Zurich, Zürich, Switzerland, 2024 - Haleh Falakshahi:
Path-Based Differential Algorithm and Graph Theory-Based Analysis on Neuroimaging Data. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Francesco Giuliari:
Spatial Reasoning with Graph Neural Networks. University of Genoa, Italy, 2024 - Andrew Jena:
Graph-Theoretic Techniques for Optimizing NISQ Algorithms. University of Waterloo, Ontario, Canada, 2024 - Ola Karajeh:
Improving Text Classification Using Graph-based Methods. Virginia Tech, Blacksburg, VA, USA, 2024 - Dharma Raj KC:
Conditional Graph Generative Models for Code and Texture Generation. University of Arizona, Tucson, USA, 2024 - Elisa Gómez de Lope:
Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach. University of Luxembourg, Luxembourg City, Luxembourg, 2024 - Alexander V. Nikitin:
Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning. Aalto University, Espoo, Finland, 2024 - Siddhartha Sahu:
Optimizing Differential Computation for Large-Scale Graph Processing. University of Waterloo, Ontario, Canada, 2024 - Huu Hoang Nguyen:
Graph representation learning for security analytics in decentralized software systems and social networks. Gottfried Wilhelm Leibniz Universität, Hannover, Germany, 2024 - Juri Opitz:
Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search. University of Heidelberg, Germany, 2024 - Enrique Fita Sanmartin:
Exploring Graph Structures: Learning and Analysis. University of Heidelberg, Germany, 2024 - Seyed Ali Alhosseini:
Classification, prediction and evaluation of graph neural networks on online social media platforms. University of Potsdam, Germany, 2024 - Noé Cecillon:
Combining Graph and Text to Model Conversations: An Application to Online Abuse Detection. (Combinaison des graphes et du texte pour la modélisation de conversations: Application à la détection d'abus en ligne). Avignon University, France, 2024 - Mosab Alfaqeeh, David B. Skillicorn:
Finding Communities in Social Networks Using Graph Embeddings. Lecture Notes in Social Networks, Springer 2024, ISBN 978-3-031-60915-2, pp. 1-174 - Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao:
STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models. Appl. Artif. Intell. 38(1) (2024) - Zhe Liu, Xiaojun Lou, Jian Li, Guanjun Liu:
Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation. Appl. Artif. Intell. 38(1) (2024) - Zhifeng Wei, Hongyan Wang, Qiang Xu, Yi Qu, Wei Xing:
Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology. Appl. Artif. Intell. 38(1) (2024) - Ye Li:
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems. Adv. Artif. Intell. Mach. Learn. 4(1): 2077-2090 (2024) - V. A. Khitraya, Vladimir V. Mazalov:
Game-Theoretic Centrality of Directed Graph Vertices. Autom. Remote. Control. 85(2) (2024)
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