A Magnetic Laplacian based Hypergraph Neural Network
A Magnetic Laplacian based Hypergraph Neural Network - arXiv
We study HyperMagNet for the task of node classification, and demonstrate its effectiveness over graph-reduction based hypergraph neural networks.
A Magnetic Laplacian based Hypergraph Neural Network - arXiv
Building on this representation and inspired by the success of graph convolutional neural networks (GCN), the seminal hypergraph neural network ...
A Magnetic Laplacian Based Hypergraph Neural Network
HyperMagNet: A Magnetic Laplacian Based Hypergraph Neural Network. Tatyana Benko, Martin Buck, Ilya Amburg, Stephen J Young, Sinan G Aksoy. January 2024.
[PDF] HyperMagNet: A Magnetic Laplacian based Hypergraph ...
This work proposes an alternative approach to hypergraph neural networks in which the hypergraph is represented as a non-reversible Markov chain, ...
A Magnetic Laplacian based Hypergraph Neural Network - arxiv-sanity
HNN derives multiple embeddings per node in the hypergraph where each embedding for a node is dependent on a specific hyperedge of that node. Notably, HNN is ...
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural ...
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Ilya Amburg - Google Scholar
Hypermagnet: A magnetic laplacian based hypergraph neural network. T Benko, M Buck, I Amburg, SJ Young, SG Aksoy. arXiv preprint arXiv:2402.09676, 2024. 2, 2024.
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A hypergraph-based neural network for molecular relational learning
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. Tatyana Benko, Martin Buck, Ilya Amburg, Stephen J. Young, Sinan G. Aksoy.
Stephen J. Young | Papers With Code
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network ... In data science, hypergraphs are natural models for data exhibiting multi-way relations, ...
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural ...
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. HyperMagNet:磁気ラプラシアンに基づくハイパーグラフニューラルネットワーク【JST・京大機械 ...
MagNet: A Neural Network for Directed Graphs
In this paper, we propose MagNet, a GNN for directed graphs based on a complex Hermitian matrix known as the magnetic Laplacian.
Let There be Direction in Hypergraph Neural Networks - OpenReview
the first spectral-based Hypergraph Neural Network ... smgc: A complex-valued graph convolutional network via magnetic laplacian for directed graphs, 2021a.
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By ...
Hypermagnet: A magnetic laplacian based hypergraph neural network. arXiv preprint arXiv:2402.09676 (2024). Google Scholar. [10]. Austin R ...
Martin Buck - American Mathematical Society
Submissions. HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. Tatyana Benko1, Martin Buck2, Ilya Amburg3, Stephen J Young4 and Sinan Aksoy3 ...
MagNet: A Neural Network for Directed Graphs - NIPS
In this paper, we introduce MagNet, a graph convolutional neural network for directed graphs based on the magnetic Laplacian. Most graph neural networks fall ...
Let There be Direction in Hypergraph Neural Networks - OpenReview
Finally, they propose a graph neural network based on a message passing on the proposed Laplacian matrix and concatenate the real and imaginary parts of the ...
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. Request ... graph-reduction based hypergraph neural networks. * 9 pages, 1 figure. Via ...
HEdge Against Cyber Attacks with HEdge2Vec
Similar. HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. Tatyana Benko1, Martin Buck2, Ilya Amburg3, Stephen J Young4 and Sinan Aksoy3, (1) ...
Sparse and Local Networks for Hypergraph Reasoning - arxiv-sanity
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. Tatyana ... Moreover, the hypergraph neural network methods are at least as good as the graph ...