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Publication search results
found 178 matches
- 2024
- Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao:
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. J. Chem. Inf. Model. 64(7): 2912-2920 (2024) - Yashen Wang, Xiaoye Ouyang, Dayu Guo, Xiaoling Zhu:
MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data 18(1): 30:1-30:24 (2024) - Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang:
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection. IEEE Trans. Software Eng. 50(3): 360-375 (2024) - 2023
- Hang Zhao, Pin-yuan Dai, Xiao-jin Yu, Jieyu He, Chao Zhao, Li-hong Yin:
Evaluation of graphical models for multi-group metabolomics data. Briefings Bioinform. 24(3) (2023) - Carlos De Las Morenas Mateos, Rafael Lahoz-Beltra:
Application of Graph Theory and Automata Modeling for the Study of the Evolution of Metabolic Pathways with Glycolysis and Krebs Cycle as Case Studies. Comput. 11(6): 107 (2023) - Boris Flotterer, Maria Maximova, Sven Schneider, Johannes Dyck, Christian Zöllner, Holger Giese, Christelle Hély, Cédric Gaucherel:
Modeling and formal analysis of meta-ecosystems with dynamic structure using graph transformation. Ecol. Informatics 75: 101908 (2023) - Yuming Huang, Bingfeng Ge, Keith W. Hipel, Liping Fang, Bin Zhao, Ke-Wei Yang:
Solving the inverse graph model for conflict resolution using a hybrid metaheuristic algorithm. Eur. J. Oper. Res. 305(2): 806-819 (2023) - Aaron G. Garrison, Javier Heras-Domingo, John R. Kitchin, Gabriel dos Passos Gomes, Zachary W. Ulissi, Samuel M. Blau:
Applying Large Graph Neural Networks to Predict Transition Metal Complex Energies Using the tmQM_wB97MV Data Set. J. Chem. Inf. Model. 63(24): 7642-7654 (2023) - Ling Wang, Jicang Lu, Yepeng Sun:
Knowledge graph representation learning model based on meta-information and logical rule enhancements. J. King Saud Univ. Comput. Inf. Sci. 35(4): 112-125 (2023) - Weizhen Zhou, Zhenhua Huang, Cheng Wang, Yunwen Chen:
A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation. Knowl. Based Syst. 276: 110731 (2023) - Jie Guo, Zeru Li, Xueyan He, Beibei Wang, Wenbin Li, Yanwen Guo, Ling-Qi Yan:
MetaLayer: A Meta-Learned BSDF Model for Layered Materials. ACM Trans. Graph. 42(6): 222:1-222:15 (2023) - Maxx Richard Rahman, Mohammed Hussain, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports. ICDH 2023: 158-168 - Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR 2023 - Pawan Agrawal, Subham Raj, Sriparna Saha, Naoyuki Onoe:
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems. INNS DLIA@IJCNN 2023: 581-590 - Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin:
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. IPDPS 2023: 13-24 - Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. MICCAI (8) 2023: 99-108 - Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility. CoRR abs/2306.14857 (2023) - 2022
- Somayyeh Asgari, Tapio Fabritius:
Graphene-Based Multiband Chiral Metamaterial Absorbers Comprised of Square Split-Ring Resonator Arrays With Different Numbers of Gaps, and Their Equivalent Circuit Model. IEEE Access 10: 63658-63671 (2022) - He Weng, Jianjiang Chen, Dongjing Wang, Xin Zhang, Dongjin Yu:
Graph-Based Attentive Sequential Model With Metadata for Music Recommendation. IEEE Access 10: 108226-108240 (2022) - Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, Lun Hu:
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction. BMC Bioinform. 23(1): 516 (2022) - Kurt Leimer, Przemyslaw Musialski:
Analysis of a reduced-order model for the simulation of elastic geometric zigzag-spring meta-materials. Comput. Graph. 102: 187-198 (2022) - Yangshengyan Liu, Fu Gu, Yijie Wu, Xinjian Gu, Jianfeng Guo:
A metrics-based meta-learning model with meta-pretraining for industrial knowledge graph construction. Comput. Ind. 143: 103753 (2022) - Yindi Sun, Wei Liu, Guozhong Cao, Qingjin Peng, Jianjie Gu, Jiaming Fu:
Effective design knowledge abstraction from Chinese patents based on a meta-model of the patent design knowledge graph. Comput. Ind. 142: 103749 (2022) - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang:
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition. Inf. Fusion 80: 1-22 (2022) - Pin Chen, Rui Jiao, Jinyu Liu, Yang Liu, Yutong Lu:
Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal-Organic Frameworks. J. Chem. Inf. Model. 62(22): 5446-5456 (2022) - Gergely Zahoránszky-Köhalmi, Nikita Lysov, Ilia Vorontcov, Jeffrey Wang, Jeyaraman Soundararajan, Dimitrios Metaxotos, Biju Mathew, Rafat Sarosh, Samuel G. Michael, Alexander G. Godfrey:
Algorithm for the Pruning of Synthesis Graphs. J. Chem. Inf. Model. 62(9): 2226-2238 (2022) - Andrea Vázquez-Ingelmo, Francisco José García-Peñalvo, Roberto Therón:
MetaViz - A graphical meta-model instantiator for generating information dashboards and visualizations. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9977-9990 (2022) - Xiaolong Jiang, Heli Sun, Bo Zhang, Liang He, Xiaolin Jia:
A novel meta-graph-based attention model for event recommendation. Neural Comput. Appl. 34(17): 14659-14682 (2022) - Manuel A. Vázquez, Jorge Pereira-Delgado, Jesús Cid-Sueiro, Jerónimo Arenas-García:
Validation of scientific topic models using graph analysis and corpus metadata. Scientometrics 127(9): 5441-5458 (2022) - K. Venkata Rao, Satish Parimi, L. Suvarna Raju, Gamini Suresh:
Modelling and optimization of weld bead geometry in robotic gas metal arc-based additive manufacturing using machine learning, finite-element modelling and graph theory and matrix approach. Soft Comput. 26(7): 3385-3399 (2022)
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