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Publication search results
found 44 matches
- 2024
- Muhammed Yilmaz, Mustafa Mert Keskin, Ahmet Murat Özbayoglu:
Algorithmic stock trading based on ensemble deep neural networks trained with time graph. Appl. Soft Comput. 163: 111847 (2024) - Rana Abu Bakar, Lorenzo De Marinis, Filippo Cugini, Francesco Paolucci:
FTG-Net-E: A hierarchical ensemble graph neural network for DDoS attack detection. Comput. Networks 250: 110508 (2024) - Rui Duan, Chungang Yan, Junli Wang, Changjun Jiang:
Graph ensemble neural network. Inf. Fusion 110: 102461 (2024) - Tanwi Mallick, Jane MacFarlane, Prasanna Balaprakash:
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(8): 9141-9152 (2024) - Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf:
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models. Trans. Mach. Learn. Res. 2024 (2024) - Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. IEEE Trans. Netw. Sci. Eng. 11(4): 3250-3259 (2024) - Emmanuel Osei-Brefo, Huizhi Liang:
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach. WASSA 2024: 412-419 - Xin Zhang, Daochen Zha, Qiaoyu Tan:
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR abs/2405.03401 (2024) - Moritz Feik, Sebastian Lerch, Jan Stühmer:
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts. CoRR abs/2407.11050 (2024) - 2023
- Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider:
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification. Bioinform. 39(10) (2023) - Manjunath Ramanna Lamani, P. Julian Benadit, Krishnakumar Vaithinathan:
Multi-atlas Graph Convolutional Networks and Convolutional Recurrent Neural Networks-Based Ensemble Learning for Classification of Autism Spectrum Disorders. SN Comput. Sci. 4(3): 213 (2023) - Chenyang Jiao, Dingcheng Zhang, Xia Fang, Qiang Miao:
Ensemble of Simplified Graph Wavelet Neural Networks for Planetary Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny:
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. AICS 2023: 1-8 - Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. IEEE Big Data 2023: 956-965 - Lina Zhang, Yang Wang, Minyue Wu, Yanwei Wang, Ying Zheng:
Network Intrusion Detection Based on Graph Neural Network and Ensemble Learning. SAFEPROCESS 2023: 1-6 - Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz:
GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network. GbRPR 2023: 59-69 - Ming-Yen Wu:
Ensemble Recurrent Graph Neural Networks for Availability Prediction in Cellular Networks. ICKII 2023: 59-63 - Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang:
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD 2023: 775-787 - Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. CoRR abs/2303.11376 (2023) - Jonas Busk, Mikkel N. Schmidt, Ole Winther, Tejs Vegge, Peter Bjørn Jørgensen:
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces. CoRR abs/2305.16325 (2023) - Zhen Hao Wong, Ling Yue, Quanming Yao:
Ensemble Learning for Graph Neural Networks. CoRR abs/2310.14166 (2023) - Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny:
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. CoRR abs/2311.07321 (2023) - 2022
- Karim Huesmann, Lars Linsen:
SimilarityNet: A Deep Neural Network for Similarity Analysis Within Spatio-temporal Ensembles. Comput. Graph. Forum 41(3): 379-389 (2022) - Amrit Nagarajan, Jacob R. Stevens, Anand Raghunathan:
Efficient ensembles of graph neural networks. DAC 2022: 187-192 - Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan:
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML 2022: 13857-13869 - Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. IJCAI 2022: 2298-2304 - Eliton Scardin Perin, Edson Takashi Matsubara:
Transductive Ensemble Learning with Graph Neural Network for Speech Emotion Recognition. SE&R@PROPOR 2022: 42-48 - Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. CoRR abs/2204.01618 (2022) - Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. CoRR abs/2205.12076 (2022) - 2021
- Sertan Serte, Ali Serener:
Graph-based saliency and ensembles of convolutional neural networks for glaucoma detection. IET Image Process. 15(3): 797-804 (2021)
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