Results 21 to 30 of about 1,404 (207)
Applied SciencesAccurate short-term weather forecasting plays a vital role in disaster response, agriculture, and energy management, where timely and reliable predictions are essential for decision-making.
Fei Wang +7 more
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DPHGNN: A Dual Perspective Hypergraph Neural Networks
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAccepted in SIGKDD'24 -- Research ...
Siddhant Saxena +4 more
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Hypergraph Analysis of Functional Brain Connectivity During Figurative Attention
Applied SciencesHypergraph analysis extends traditional graph theory by enabling the study of complex, many-to-many relationships in networks, offering powerful tools for understanding brain connectivity.
Alexander N. Pisarchik +3 more
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Hyperedge Interaction-aware Hypergraph Neural Network
CoRRHypergraphs provide an effective modeling approach for modeling high-order relationships in many real-world datasets. To capture such complex relationships, several hypergraph neural networks have been proposed for learning hypergraph structure, which propagate information from nodes to hyperedges and then from hyperedges back to nodes.
Xiaobing Pei +3 more
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Hypergraph Neural Networks with Logic Clauses [PDF]
2024 International Joint Conference on Neural Networks (IJCNN)The analysis of structure in complex datasets has become essential to solving difficult Machine Learning problems. Relational aspects of data, capturing relationships between objects, play a crucial role in understanding the underlying data structure ...
Gandarela de Souza, J. P. +2 more
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Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation
Data Science and Engineering, 2023 Graph collaborative filtering methods have shown great performance improvements compared with deep neural network-based models. However, these methods suffer from data sparsity and data noise problems.
Zhi-Yuan Li +3 more
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Directed hypergraph attention network for traffic forecasting
IET Intelligent Transport Systems, 2022 In traffic systems, traffic forecasting is a critical issue, which has attracted much interest from researchers. It is a challenging task due to the complex spatial‐temporal patterns of traffic data.
Xiaoyi Luo, Jiaheng Peng, Jun Liang
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Face Spoof Attack Detection with Hypergraph Capsule Convolutional Neural Networks
International Journal of Computational Intelligence Systems, 2021 Face authentication has been widely used in personal identification. However, face authentication systems can be attacked by fake images. Existing methods try to detect such attacks with different features.
Yuxin Liang, Chaoqun Hong, Weiwei Zhuang
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DeepNC: a framework for drug-target interaction prediction with graph neural networks [PDF]
PeerJ, 2022 The exploration of drug-target interactions (DTI) is an essential stage in the drug development pipeline. Thanks to the assistance of computational models, notably in the deep learning approach, scientists have been able to shorten the time spent on this
Huu Ngoc Tran Tran +2 more
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Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
CoRRKnowledge hypergraphs generalize knowledge graphs using hyperedges to connect multiple entities and depict complicated relations. Existing methods either transform hyperedges into an easier-to-handle set of binary relations or view hyperedges as isolated and ignore their adjacencies. Both approaches have information loss and may potentially lead to the
Mengfan Li 0001 +4 more
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