Hypergraph Survey Hypergraph Learning: Methods and Practices (TPAMI, 2022) [paper] More Recent Advances in (Hyper)Graph Partitioning (ACM Computing Surveys, 2022) [paper] Survey of Hypergraph Neural Networks and Its Application to Action Recognition (CAAI International Conference on Artificial Intelligenc...
超图(Hypergraph)研究一览: Survey, 学习算法,理论分析,tutorial,数据集,Tools!98 赞同 · 8 评论文章 赵来福:[论文笔记]Hyper-Networks10 赞同 · 0 评论文章 下面这篇笔记分类汇总了我在知乎上分享过的有价值的资料,主要是关于多智能体(深度)强化学习的内容。 陈皓:笔记索引(持续更新)88 赞同 · 12 评论...
However, existing graph neural networks frameworks are designed based on simple graphs, which limits their ability to handle data with complex correlations. Therefore, in some special cases, especially when the data have interdependence, the complexity of the data poses a significant challenge to ...
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A Survey on Graph Representation Learning Methods 2024, ACM Transactions on Intelligent Systems and Technology HGNN+: General Hypergraph Neural Networks 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Exten...
Survey of Hypergraph Neural Networks and Its Application to Action Recognition (CAAI International Conference on Artificial Intelligence, 2022) [paper] A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection (Data, Engineering and Applications, 2022) [paper] ...
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we employ absolute counts for both HPs and NPs to retain and leverage this scale information. It is also important to note that, in our experiments, NPs and HPs are used with classifiers (e.g., hypergraph neural networks) powerful enough to capture (dis)similarity even across differing scales...