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	DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024 作者: Adobe PDF(1654Kb) \| 收藏 \| 浏览/下载：214/3 \| 提交时间：2024/11/29 Adversarial machine learning Contrastive Learning Graph embeddings Graph neural networks Network embeddings Network theory (graphs) Clinical data Diversity-based sampling Efficient graph neural network learning Embeddings Graph neural networks Hyperedges Large-scales Neural network learning Subgraphs Topology and embedding diversity
	Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 卷号: PP, 期号: 99 作者: Wang, Zixin; Zhou, Yong; Shi, Yuanming; Letaief, Khaled B. Adobe PDF(12364Kb) \| 收藏 \| 浏览/下载：76/1 \| 提交时间：2025/02/28 Adversarial machine learning Data privacy Differential privacy Edge computing Frequency allocation Integer programming Learning to rank Network embeddings Resource allocation Edge server Fine tuning Foundation models Intelligence services Learning performance On-line algorithms Parameter-efficient fine-tuning Pre-trained foundation model Resources allocation Upper Bound
	Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Jinhua, China, August 30, 2024 - September 1, 2024 作者: Adobe PDF(28073Kb) \| 收藏 \| 浏览/下载：259/3 \| 提交时间：2024/09/20 Data flow graphs Graph embeddings Network theory (graphs) Accurate modeling Graph networks Graph neural networks Indistinguishability Spatial temporals Spatial-temporal forecast Temporal graphs Traffic flow forecast Traffic flow forecasting Traffic nodes
	Feature-Embedding Triplet Networks with a Separately Constrained Loss Function 会议论文 PROCEEDINGS - IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, Monterey, CA, United states, May 21, 2023 - May 25, 2023 作者: Wang, Ziheng; Niknia, Farzad; Liu, Shanshan; Jiang, Honglan; Liu, Siting Adobe PDF(3872Kb) \| 收藏 \| 浏览/下载：322/0 \| 提交时间：2024/01/19 Machine learning Network embeddings Feature embedding Intra class Loss functions Machine-learning Measuring applications Multilayers perceptrons Similarity measuring Subchannels Symmetrics Triplet network
	ALTERNATING DIFFERENTIATION FOR OPTIMIZATION LAYERS 会议论文 11TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2023, Kigali, Rwanda, May 1, 2023 - May 5, 2023 作者: Sun, Haixiang; Shi, Ye; Wang, Jingya; Tuan, Hoang Duong; Poor, H. Vincent 收藏 \| 浏览/下载：194/0 \| 提交时间：2024/08/09 Convex optimization Deep neural networks Multilayer neural networks Network layers Computational speed Convex optimization problems Embeddings Karush Kuhn tucker condition Large-scales Optimisations Optimization problems Polyhedral constraints Standard assumptions Truncation errors
	RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics 会议论文 CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS - PROCEEDINGS, Virtual, Online, United states, April 30, 2022 - May 5, 2022 作者: Xie, Laixin; Wu, Ziming; Xu, Peng; Li, Wei; Ma, Xiaojuan Adobe PDF(6312Kb) \| 收藏 \| 浏览/下载：386/0 \| 提交时间：2022/06/10 Interactive computer graphics Virtual reality Visualization Gameplay Graph embeddings Interaction behavior Massively multiplayer online role-playing games Role change Social context Social network Social roles Virtual community Visual analytics
	Inductive Matrix Completion Using Graph Autoencoder 会议论文 INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, PROCEEDINGS, Virtual, Online, Australia, November 1, 2021 - November 5, 2021 作者: Shen, Wei; Zhang, Chuheng; Tian, Yun; Zeng, Liang; He, Xiaonan Adobe PDF(2547Kb) \| 收藏 \| 浏览/下载：634/169 \| 提交时间：2021/12/03 Benchmarking Embeddings Graph structures Graph theory Matrix algebra Auto encoders Completion methods Embeddings Gae based model Graph neural networks Graph patterns Inductive matrix Learn+ Matrix completion Network based
	PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction 期刊论文 BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 6 作者: Dai, Xinnan; Xu, Fan; Wang, Shike; Mundra, Piyushkumar A.; Zheng, Jie Adobe PDF(3880Kb) \| 收藏 \| 浏览/下载：471/140 \| 提交时间：2021/06/18 Single-cell Protein prediction Graph neural network Knowledge embedding Cells Cytology Embeddings Forecasting Machine learning Proteins RNA Graph neural networks Machine learning methods Machine learning models Prediction performance Protein interaction Protein interaction networks Simultaneous measurement

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