Showing results 99061 to 99080 of 278752
Graph neural network based heterogeneous propagation scheme for classifying Alzheimer's disease = 알츠하이머 치매 진단을 위한 그래프 신경망 기반 다중적 전파 체계link Byun, Jiyoung; Jeong, Yong; et al, 한국과학기술원, 2021 |
Graph neural network based multiple accident diagnosis in nuclear power plants: Data optimization to represent the system configuration Chae, Young Ho; Lee, Chanyoung; Han, Sang Min; Seong, Poong Hyun, NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.8, pp.2859 - 2870, 2022-08 |
Graph Neural Network based Scene Change Detection Using Scene Graph Embedding with Hybrid Classification Loss Kim, Soyeon; Joo, Kyungno; Youn, Chan-Hyun, 12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation, pp.190 - 195, The korean institute of communications and information sciences (KICS), 2021-10-20 |
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance Jeong, Dasaem; Kwon, Taegyun; Kim, Yoojin; Nam, Juhan, 36th International Conference on Machine Learning (ICML), The International Conference on Machine Learning (ICML), 2019-06-12 |
Graph neural network-based knowledge tracing model integrating student-exercise interaction and knowledge-exercise relationships = 학생-문항 인터렉션과 지식-문항 관계를 통합하는 그래프신경망 기반 지식추적모델link Han, Donghee; 한동희; et al, 한국과학기술원, 2023 |
Graph neural network-based scene change detection with hybrid feature classification of scene graph embedding = 그래프 신경망 기반 장면 그래프 임베딩의 하이브리드 특징 분류를 이용한 장면 변화 감지 기법link Kim, So-Yeon; Youn, Chan-Hyun; et al, 한국과학기술원, 2021 |
Graph neural networks based on explanation components for graph classification = 그래프 분류를 위한 설명 구성요소 기반 그래프 뉴럴 네트워크link Seo, Sangwoo; Kim, Changick; et al, 한국과학기술원, 2022 |
Graph Reduction Methods in Enumerating Minimal Cutsets in a Class of Undirected Plannar Graphs 성창섭, 대한산업공학회 추계학술대회, 1990 |
Graph Reduction of Complex Energy-Integrated Networks: Process Systems Applications Heo, Seongmin; Rangarajan, Srinivas; Daoutidis, Prodromos; Jogwar, Sujit S., AICHE JOURNAL, v.60, no.3, pp.995 - 1012, 2014-03 |
Graph Representation of All Ambiguous Parse Trees Yun Seo Jung, Proceedings of World Conference on Information Processing, pp.491 - 495, 1989 |
Graph self-supervised learning and generative model for modeling graph structural property = 그래프 구조적 특성 모델링을 위한 자가지도학습법 및 생성모델link Kim, Dongki; 김동기; et al, 한국과학기술원, 2023 |
Graph Self-supervised Learning with Accurate Discrepancy Learning Kim, Dongki; Baek, Jinheon; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11 |
Graph similarity and maximum common subtree problem 박성수; 한진일; 정영윤, 대한산업공학회 춘계공동학술대회, 대한산업공학회, 2010-06 |
Graph Structure-Based Simultaneous Localization and Mapping Using a Hybrid Method of 2D Laser Scan and Monocular Camera Image in Environments with Laser Scan Ambiguity![]() Oh, Taek Jun; Lee, Donghwa; Kim, Hyungjin; Myung, Hyun, SENSORS, v.15, no.7, pp.15830 - 15852, 2015-07 |
Graph Structure-based Simultaneous Localization and Mapping with Iterative Closest Point Constraints in Uneven Outdoor Terrain Oh, Taekjun; Kim, Hyongjin; Lee, Donghwa; Roh, Hyunchul; Myung, Hyun, RiTA 2014 (Int'l Conf. on Robot Intelligence Technology), International Robot Olympiad Committee, 2014-11-08 |
Graph synthesis for reconfigurable multicomputer systems = 재구성 가능 다중 컴퓨터를 위한 그래프 합성link Hong, Joon-Sung; 홍준성; et al, 한국과학기술원, 1993 |
Graph theoretic methods for clustering based on adjacency matrix and their comparison = 인접성 행렬을 이용한 그래프 이론적 집락화와 방법의 비교link Kwon, Se-Jeong; 권세정; et al, 한국과학기술원, 2012 |
Graph theoretical analysis of large-scale voltage sensitive dye imaging data in vivo. Kang, Minseok; Lee, Young Beom; Gohel, Bakul C.; Jeong, Yong, The 2015 Meeting on on Wiring the Brain, Cold Spring Harbor Laboratory, 2015-03-25 |
Graph theory approach for match reduction in image mosaicing Elibol, Armagan; Gracias, Nuno; Garcia, Rafael; Kim, Jinwhan, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, v.31, no.4, pp.773 - 782, 2014-04 |
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Park, JoonHyung; Shim, Hajin; Yang, Eunho, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.7966 - 7974, Association for the Advancement of Artificial Intelligence (AAAI), 2022-02-25 |
Discover