Статті в журналах з теми "Node representations"
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Zeng, Liang, Lanqing Li, Ziqi Gao, Peilin Zhao, and Jian Li. "ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 11138–46. http://dx.doi.org/10.1609/aaai.v37i9.26319.
Повний текст джерелаChen, Junhui, Feihu Huang, and Jian Peng. "MSGCN: Multi-Subgraph Based Heterogeneous Graph Convolution Network Embedding." Applied Sciences 11, no. 21 (October 21, 2021): 9832. http://dx.doi.org/10.3390/app11219832.
Повний текст джерелаLiu, Dong, Yan Ru, Qinpeng Li, Shibin Wang, and Jianwei Niu. "Semisupervised Community Preserving Network Embedding with Pairwise Constraints." Complexity 2020 (November 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/7953758.
Повний текст джерелаLiu, Li, Weixin Zeng, Zhen Tan, Weidong Xiao, and Xiang Zhao. "Node Importance Estimation with Multiview Contrastive Representation Learning." International Journal of Intelligent Systems 2023 (September 6, 2023): 1–13. http://dx.doi.org/10.1155/2023/5917750.
Повний текст джерелаHan, Liangzhe, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, and Tongyu Zhu. "Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4293–301. http://dx.doi.org/10.1609/aaai.v37i4.25548.
Повний текст джерелаVaghani, Dev. "An Approch for Representation of Node Using Graph Transformer Networks." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 27–37. http://dx.doi.org/10.22214/ijraset.2023.48485.
Повний текст джерелаLi, Haoyang, and Lei Chen. "EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–28. http://dx.doi.org/10.1145/3589308.
Повний текст джерелаLiu, Yixin, Yizhen Zheng, Daokun Zhang, Vincent CS Lee, and Shirui Pan. "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4516–24. http://dx.doi.org/10.1609/aaai.v37i4.25573.
Повний текст джерелаDuan, Wei, Junyu Xuan, Maoying Qiao, and Jie Lu. "Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6550–58. http://dx.doi.org/10.1609/aaai.v36i6.20608.
Повний текст джерелаWang, Renbiao, Fengtai Li, Shuwei Liu, Weihao Li, Shizhan Chen, Bin Feng, and Di Jin. "Adaptive Multi-Channel Deep Graph Neural Networks." Symmetry 16, no. 4 (April 1, 2024): 406. http://dx.doi.org/10.3390/sym16040406.
Повний текст джерелаYoon, Jisung, Kai-Cheng Yang, Woo-Sung Jung, and Yong-Yeol Ahn. "Persona2vec: a flexible multi-role representations learning framework for graphs." PeerJ Computer Science 7 (March 30, 2021): e439. http://dx.doi.org/10.7717/peerj-cs.439.
Повний текст джерелаShen, Xiao, Quanyu Dai, Fu-lai Chung, Wei Lu, and Kup-Sze Choi. "Adversarial Deep Network Embedding for Cross-Network Node Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (April 3, 2020): 2991–99. http://dx.doi.org/10.1609/aaai.v34i03.5692.
Повний текст джерелаWang, Yu, Liang Hu, Yang Wu, and Wanfu Gao. "Graph Multihead Attention Pooling with Self-Supervised Learning." Entropy 24, no. 12 (November 29, 2022): 1745. http://dx.doi.org/10.3390/e24121745.
Повний текст джерелаPark, Jinyoung, Sungdong Yoo, Jihwan Park, and Hyunwoo J. Kim. "Deformable Graph Convolutional Networks." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7949–56. http://dx.doi.org/10.1609/aaai.v36i7.20765.
Повний текст джерелаLin, Mugang, Kunhui Wen, Xuanying Zhu, Huihuang Zhao, and Xianfang Sun. "Graph Autoencoder with Preserving Node Attribute Similarity." Entropy 25, no. 4 (March 26, 2023): 567. http://dx.doi.org/10.3390/e25040567.
Повний текст джерелаJha, Kishlay, Guangxu Xun, and Aidong Zhang. "Continual representation learning for evolving biomedical bipartite networks." Bioinformatics 37, no. 15 (February 3, 2021): 2190–97. http://dx.doi.org/10.1093/bioinformatics/btab067.
Повний текст джерелаDongming Chen, Dongming Chen, Mingshuo Nie Dongming Chen, Jiarui Yan Mingshuo Nie, Jiangnan Meng Jiarui Yan, and Dongqi Wang Jiangnan Meng. "Network Representation Learning Algorithm Based on Community Folding." 網際網路技術學刊 23, no. 2 (March 2022): 415–23. http://dx.doi.org/10.53106/160792642022032302020.
Повний текст джерелаGhoniem, Mohammad, Jean-Daniel Fekete, and Philippe Castagliola. "On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis." Information Visualization 4, no. 2 (May 12, 2005): 114–35. http://dx.doi.org/10.1057/palgrave.ivs.9500092.
Повний текст джерелаZhang, Daokun, Jie Yin, Xingquan Zhu, and Chengqi Zhang. "Search Efficient Binary Network Embedding." ACM Transactions on Knowledge Discovery from Data 15, no. 4 (June 2021): 1–27. http://dx.doi.org/10.1145/3436892.
Повний текст джерелаHe, Dongxiao, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, and Zhiyong Feng. "Improving Distinguishability of Class for Graph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12349–57. http://dx.doi.org/10.1609/aaai.v38i11.29126.
Повний текст джерелаQiu, Yuanyuan, Zhijie Xu, and Jianqin Zhang. "Patch-Based Auxiliary Node Classification for Domain Adaptive Object Detection." Electronics 13, no. 7 (March 27, 2024): 1239. http://dx.doi.org/10.3390/electronics13071239.
Повний текст джерелаKeller, René, Claudia M. Eckert, and P. John Clarkson. "Matrices or Node-Link Diagrams: Which Visual Representation is Better for Visualising Connectivity Models?" Information Visualization 5, no. 1 (March 2006): 62–76. http://dx.doi.org/10.1057/palgrave.ivs.9500116.
Повний текст джерелаHoang, Van Thuy, and O.-Joun Lee. "Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12456–65. http://dx.doi.org/10.1609/aaai.v38i11.29138.
Повний текст джерелаChen, Zhen, Jia Huang, Shengzheng Liu, and Haixia Long. "Multiscale Feature Fusion and Graph Convolutional Network for Detecting Ethereum Phishing Scams." Electronics 13, no. 6 (March 7, 2024): 1012. http://dx.doi.org/10.3390/electronics13061012.
Повний текст джерелаRoy, Indradyumna, Abir De, and Soumen Chakrabarti. "Adversarial Permutation Guided Node Representations for Link Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9445–53. http://dx.doi.org/10.1609/aaai.v35i11.17138.
Повний текст джерелаWang, Qizhou, Guansong Pang, Mahsa Salehi, Wray Buntine, and Christopher Leckie. "Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4676–84. http://dx.doi.org/10.1609/aaai.v37i4.25591.
Повний текст джерелаHush, Don R. "Training a Sigmoidal Node Is Hard." Neural Computation 11, no. 5 (July 1, 1999): 1249–60. http://dx.doi.org/10.1162/089976699300016449.
Повний текст джерелаZhang, Wei, Baoyang Cui, Zhonglin Ye, and Zhen Liu. "A Network Representation Learning Model Based on Multiple Remodeling of Node Attributes." Mathematics 11, no. 23 (November 27, 2023): 4788. http://dx.doi.org/10.3390/math11234788.
Повний текст джерелаWang, Yinghui, Wenjun Wang, Minglai Shao, and Yueheng Sun. "Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure." Algorithms 16, no. 5 (April 28, 2023): 234. http://dx.doi.org/10.3390/a16050234.
Повний текст джерелаDing, Kaize, Yancheng Wang, Yingzhen Yang, and Huan Liu. "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7378–86. http://dx.doi.org/10.1609/aaai.v37i6.25898.
Повний текст джерелаJung, Jinhong, Jaemin Yoo, and U. Kang. "Signed random walk diffusion for effective representation learning in signed graphs." PLOS ONE 17, no. 3 (March 17, 2022): e0265001. http://dx.doi.org/10.1371/journal.pone.0265001.
Повний текст джерелаNajafi, Bahareh, Saeedeh Parsaeefard, and Alberto Leon-Garcia. "Entropy-Aware Time-Varying Graph Neural Networks with Generalized Temporal Hawkes Process: Dynamic Link Prediction in the Presence of Node Addition and Deletion." Machine Learning and Knowledge Extraction 5, no. 4 (October 4, 2023): 1359–81. http://dx.doi.org/10.3390/make5040069.
Повний текст джерелаZhan, Huixin, Kun Zhang, Keyi Lu, and Victor S. Sheng. "Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16380–81. http://dx.doi.org/10.1609/aaai.v37i13.27050.
Повний текст джерелаPeng, Hao, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, and Philip S. Yu. "Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks." ACM Transactions on Information Systems 40, no. 4 (October 31, 2022): 1–46. http://dx.doi.org/10.1145/3490181.
Повний текст джерелаSong, Anping, Ruyi Ji, Wendong Qi, and Chenbei Zhang. "RGCLN: Relational Graph Convolutional Ladder-Shaped Networks for Signed Network Clustering." Applied Sciences 13, no. 3 (January 19, 2023): 1367. http://dx.doi.org/10.3390/app13031367.
Повний текст джерелаLiu, Yanbei, Xiao Wang, Shu Wu, and Zhitao Xiao. "Independence Promoted Graph Disentangled Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4916–23. http://dx.doi.org/10.1609/aaai.v34i04.5929.
Повний текст джерелаRen, Min, Yunlong Wang, Zhenan Sun, and Tieniu Tan. "Dynamic Graph Representation for Occlusion Handling in Biometrics." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11940–47. http://dx.doi.org/10.1609/aaai.v34i07.6869.
Повний текст джерелаMerchant, Arpit, Aristides Gionis, and Michael Mathioudakis. "Succinct graph representations as distance oracles." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 2297–306. http://dx.doi.org/10.14778/3551793.3551794.
Повний текст джерелаMa, Chuang, and Helong Xia. "A one-step graph clustering method on heterogeneous graphs via variational graph embedding." Electronic Research Archive 32, no. 4 (2024): 2772–88. http://dx.doi.org/10.3934/era.2024125.
Повний текст джерелаDICKINSON, P. J., M. KRAETZL, H. BUNKE, M. NEUHAUS, and A. DADEJ. "SIMILARITY MEASURES FOR HIERARCHICAL REPRESENTATIONS OF GRAPHS WITH UNIQUE NODE LABELS." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 03 (May 2004): 425–42. http://dx.doi.org/10.1142/s021800140400323x.
Повний текст джерелаLin, Siyi, Jie Hong, Bo Lang, and Lin Huang. "DAG: Dual Attention Graph Representation Learning for Node Classification." Mathematics 11, no. 17 (August 28, 2023): 3691. http://dx.doi.org/10.3390/math11173691.
Повний текст джерелаKefato, Zekarias, and Sarunas Girdzijauskas. "Gossip and Attend: Context-Sensitive Graph Representation Learning." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 351–59. http://dx.doi.org/10.1609/icwsm.v14i1.7305.
Повний текст джерелаHuang, Zhaoci, Wenzhe Xu, and Xinjian Zhuo. "Community-CL: An Enhanced Community Detection Algorithm Based on Contrastive Learning." Entropy 25, no. 6 (May 29, 2023): 864. http://dx.doi.org/10.3390/e25060864.
Повний текст джерелаSheng, Jinfang, Zili Yang, Bin Wang, and Yu Chen. "Attribute Graph Embedding Based on Multi-Order Adjacency Views and Attention Mechanisms." Mathematics 12, no. 5 (February 27, 2024): 697. http://dx.doi.org/10.3390/math12050697.
Повний текст джерелаMežnar, Sebastian, Nada Lavrač, and Blaž Škrlj. "Transfer Learning for Node Regression Applied to Spreading Prediction." Complex Systems 30, no. 4 (December 15, 2021): 457–81. http://dx.doi.org/10.25088/complexsystems.30.4.457.
Повний текст джерелаNajafi, Bahareh, Saeedeh Parsaeefard, and Alberto Leon-Garcia. "Missing Data Estimation in Temporal Multilayer Position-Aware Graph Neural Network (TMP-GNN)." Machine Learning and Knowledge Extraction 4, no. 2 (April 30, 2022): 397–417. http://dx.doi.org/10.3390/make4020017.
Повний текст джерелаSun, Li, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, and Philip S. Yu. "Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4375–83. http://dx.doi.org/10.1609/aaai.v35i5.16563.
Повний текст джерелаShi, Lei, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, and Jun Zhou. "Structural Information Enhanced Graph Representation for Link Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (March 24, 2024): 14964–72. http://dx.doi.org/10.1609/aaai.v38i13.29417.
Повний текст джерелаLi, Wang, Siwei Wang, Xifeng Guo, Zhenyu Zhou, and En Zhu. "Auxiliary Graph for Attribute Graph Clustering." Entropy 24, no. 10 (October 2, 2022): 1409. http://dx.doi.org/10.3390/e24101409.
Повний текст джерелаLawley, Lane, Will Frey, Patrick Mullen, and Alexander D. Wissner-Gross. "Joint sparsity-biased variational graph autoencoders." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 18, no. 3 (March 9, 2021): 239–46. http://dx.doi.org/10.1177/1548512921996828.
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