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Papers matching “graph convolutional networks” 16

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LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt, Kees Joost Batenburg

0

citations
Graph Neural Network-Based Multi-Agent Reinforcement Learning for Active Voltage Control: Performance and Topology Robustness
2025 SSRN Electronic Journal preprint Engineering Optimal Power Flow Distribution Open access

Chijioke Eze, Chetan Prakash, Antonello Monti

0

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
GKAN: Graph Kolmogorov-Arnold Networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari

25

citations
Graph Neural Networks Do Not Always Oversmooth
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub

3

citations
CELL CYCLE STATE PREDICTION USING GRAPH NEURAL NETWORKS
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Sayan Acharya, Aditya Ganguly, Ram Sarkar, Abin Jose

2

citations
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Xiaoyan Jiang, Bohan Wang, Hamido Fujita

0

citations
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, Jesper Kers

0

citations
Graph Learning with 1D Convolutions on Random Walks.
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

5

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

1

citations
NNNN: Neural Networks for Newtonian Noise Mitigation at the Einstein Telescope
2026 arXiv (Cornell University) preprint Physics and Astronomy Pulsars and Gravitational Waves Research Open access

Jan Kelleter, Patrick Schillings, Jonathan Kuckert, David Bertram, Markus Bachlechner, A. Stahl, +1 more

0

citations
Graph-based learning and read-out of nanopore translocation event signals
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Engineering Nanopore and Nanochannel Transport Studies Open access

Mayukh Kansari, Tobias Ensslen, Maria Fyta

0

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
2024 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Yunbing Wu, +3 more

1

citations
Drag-aware path planning for unmanned aerial vehicles in dynamic urban environments
2026 SSRN Electronic Journal preprint Computer Science Robotic Path Planning Algorithms Open access

Hojin Lee, Rishabh Puri, Rakesh Sarma, Andreas Lintermann, Sangseung Lee, Mario Rüttgers

0

citations
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Michael T. Schaub

0

citations

16 results