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Learning from Non-Binary Constituency Trees via Tensor Decomposition

Learning from Non-Binary Constituency Trees via Tensor Decomposition

International Conference on Computational Linguistics (COLING), 2020
2 November 2020
Daniele Castellana
D. Bacciu
ArXiv (abs)PDFHTML

Papers citing "Learning from Non-Binary Constituency Trees via Tensor Decomposition"

3 / 3 papers shown
Lying Graph Convolution: Learning to Lie for Node Classification Tasks
Lying Graph Convolution: Learning to Lie for Node Classification TasksIEEE International Joint Conference on Neural Network (IJCNN), 2024
Daniele Castellana
236
0
0
02 May 2024
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor DecompositionNeural Information Processing Systems (NeurIPS), 2022
Chenqing Hua
Guillaume Rabusseau
Jian Tang
216
37
0
24 May 2022
Tree-Constrained Graph Neural Networks For Argument Mining
Tree-Constrained Graph Neural Networks For Argument Mining
Federico Ruggeri
Marco Lippi
Paolo Torroni
174
4
0
02 Sep 2021
1
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