Learning on multimodal datasets is challenging because the inductive biases can vary by data modality and graphs might not be explicitly given in the input. To address these challenges, graph artificial intelligence methods combine different modalities while leveraging cross-modal dependencies through ...
Veliˇckovi´c, “Geometric deep learning: Grids, groups, graphs, geodesics, and gauges,” arXiv, 2021. [158] V. P. Dwivedi and X. Bresson, “A generalization of transformer networks to graphs,” arXiv, 2020. [159] K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual l...
Equiformer: equivariant graph attention transformer for 3D atomistic graphs. In Proc. Eleventh International Conference on Learning Representations https://openreview.net/forum?id=KwmPfARgOTD (OpenReview, 2023). Gao, W. et al. Determining the adsorption energies of small molecules with the intrinsic ...
Objective: Disease knowledge graphs are a way to connect, organize, and access disparate information about diseases with numerous benefits for artificial intelligence (AI). To create knowledge graphs, it is necessary to extract knowledge from multimodal datasets in the form of relationships between dise...
1. Visual learning Visual learning involves the use ofgraphs, infographics, cartoons and illustrations, videos, artwork, flowcharts, and diagrams– anything that primarily stimulates your learners eyes. Techniques like color coding information, using different fonts and labelling important points with stic...
Learning based方法：联合感知&预测 直接基于lidar和hdmap输入通过模型输出motion forecasting 优势是特征直接...
To address these issues, we propose GPDRP (Graph and Pathway based Drug response prediction), a novel multimodal deep learning architecture, that can predict drug responses on cell lines by modeling drugs as molecular graphs. In addition, Graph Transformer was combined with Graph Isomorphism Network...
The critical task of knowledge graph completion (KGC) cannot be overlooked when it comes to the evolution and application of new-generation knowledge graphs. With the advancement of multimodal learning and the rise of large models, knowledge graphs have experienced unprecedented development. Researchers...
6. 文献来源: Course video recommendation with multimodal information in online learning platforms: A deep learning framework一篇值得借鉴不多的文章 在这个框架中,不同种类的课程信息,如课程标题、课程音频和课程评论,被用来在在线学习平台上进行适当的推荐。此外,我们利用显性和隐性反馈来推断学习者的偏好。基于真...
今天介绍一篇论文《TRAJEGLISH: LEARNING THE LANGUAGE OF DRIVING SCENARIOS》，来自NVIDIA，多伦多大学，...