Hypergraph attention isomorphism network by learning line graph expansion

S Bandyopadhyay, K Das… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node
representation and classification in a network. But, most of the existing GNNs can be applied …
被引用次数：17 相关文章

Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion

S Bandyopadhyay, K Das, MN Murty - 2020 IEEE International …, 2020 - computer.org
Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node
representation and classification in a network. But, most of the existing GNNs can be applied …
[PDF] github.io

[PDF][PDF] Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion

S Bandyopadhyay, K Das, MN Murty - kdmsit.github.io
Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node
representation and classification inan etwork. B ut, m ost oft he e xisting G NNs c an be …
[PDF] researchgate.net

[PDF][PDF] Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion

S Bandyopadhyay, K Das, MN Murty - researchgate.net
Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node
representation and classification inan etwork. B ut, m ost oft he e xisting G NNs c an be …