- Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Defending adversarial attacks in Graph Neural Networks via tensor enhancement. Pattern Recognit. 158: 110954 (2025) - Xiang Zhang, Qiao Wang:
Graph learning from incomplete graph signals: From batch to online methods. Signal Process. 226: 109663 (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 - Jacob Miller:
Generalizations of Stress-Based Graph Layout to Non-Euclidean Geometries. University of Arizona, Tucson, USA, 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 - Qingqiang Sun:
Towards Advanced Unsupervised Representation Learning for Graph-Structured Data. University of New South Wales, Sydney, Australia, 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 - Delia Fernandez-Canellas:
Knowledge graph population from news streams. Polytechnic University of Catalonia, Spain, 2024 - Guillermo Bernárdez:
Multi-agent graph learning-based optimization and its applications to computer networks. Polytechnic University of Catalonia, Spain, 2024 - Nurudin Alvarez-Gonzalez:
A journey in representation learning textual emotion detection and structural graph encodings. Pompeu Fabra University, Spain, 2024 - Armin Masoumian:
Enhancing Distance Prediction through Monocular Depth Estimation based on Graph Convolutional Networks. University of Rovira i Virgili, Spain, 2024 - Paul Almasan:
Leveraging graph neural networks for optimization and traffic compression in network digital twins. Polytechnic University of Catalonia, Spain, 2024