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https://www.wolframalpha.com/input/?i=archimedean+dual+graph archimedean dual graph - Wolfram|Alpha archimedean dual graph wolfram alpha https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2025.1511521/full Frontiers | Dual graph-embedded fusion network for predicting potential microbe-disease... Recent studies indicate that microorganisms are crucial for maintaining human health. Dysbiosis, or an imbalance in these microbial communities, is strongly ... dual graph fusion network frontiers embedded https://www.preprints.org/manuscript/202407.0778 Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning[v1] | Preprints.org Incorporating knowledge graphs as auxiliary information to enhance recommendation systems can improve the representations learning of users and items.... dual graph https://deepai.org/publication/select-and-calibrate-the-low-confidence-dual-channel-consistency-based-graph-convolutional-networks Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional... May 8, 2022 - 05/08/22 - The Graph Convolutional Networks (GCNs) have achieved excellent results in node classification tasks, but the model's performance ... the low https://openreview.net/forum?id=1P1nxem1jU&referrer=%5Bthe%20profile%20of%20Runpeng%20Yu%5D(%2Fprofile%3Fid%3D~Runpeng_Yu2) Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification... Graph Neural Networks (GNNs) have become the preferred tool to process graph data, with their efficacy being boosted through graph data augmentation... https://arxiv.org/abs/2309.13625 [2309.13625] GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph Abstract page for arXiv paper 2309.13625: GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph vision language models 2309 13625 tuning https://openreview.net/forum?id=sjFL8jSayt&referrer=%5Bthe%20profile%20of%20Daoqiang%20Zhang%5D(%2Fprofile%3Fid%3D~Daoqiang_Zhang1) D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph... Predicting individual behavior is a crucial area of research in neuroscience. Graph Neural Networks (GNNs), as powerful tools for extracting graph-structured... https://openreview.net/forum?id=6I3pKLfn5YP&referrer=%5Bthe%20profile%20of%20Yang%20Lu%5D(%2Fprofile%3Fid%3D~Yang_Lu5) DGRNet: A Dual-Level Graph Relation Network for Video Object Detection | OpenReview Video object detection is a fundamental and important task in computer vision. One mainstay solution for this task is to aggregate features from different... relation network https://arxiv.org/abs/2507.22668 [2507.22668] Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation Abstract page for arXiv paper 2507.22668: Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation 3d scene 2507 graph guided dual https://aclanthology.org/2020.findings-emnlp.2/ Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual... Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.