Towards understanding generalization of graph neural networks
H Tang, Y Liu - International Conference on Machine …, 2023 - proceedings.mlr.press
Graph neural networks (GNNs) are widely used in machine learning for graph-structured
data. Even though GNNs have achieved remarkable success in real-world applications …
data. Even though GNNs have achieved remarkable success in real-world applications …
[PDF][PDF] Towards Understanding the Generalization of Graph Neural Networks
H Tang, Y Liu - gsai.ruc.edu.cn
Graph neural networks (GNNs) are the most widely adopted model in graph representation
learning. Despite their extraordinary success in real-world applications, understanding their …
learning. Despite their extraordinary success in real-world applications, understanding their …
[PDF][PDF] Towards Understanding Generalization of Graph Neural Networks
H Tang, Y Liu - proceedings.mlr.press
Graph neural networks (GNNs) are widely used in machine learning for graph-structured
data. Even though GNNs have achieved remarkable success in real-world applications …
data. Even though GNNs have achieved remarkable success in real-world applications …
Towards Understanding the Generalization of Graph Neural Networks
H Tang, Y Liu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Graph neural networks (GNNs) are the most widely adopted model in graph-structured data
oriented learning and representation. Despite their extraordinary success in real-world …
oriented learning and representation. Despite their extraordinary success in real-world …
Towards understanding generalization of graph neural networks
H Tang, Y Liu - Proceedings of the 40th International Conference on …, 2023 - dl.acm.org
Graph neural networks (GNNs) are widely used in machine learning for graph-structured
data. Even though GNNs have achieved remarkable success in real-world applications …
data. Even though GNNs have achieved remarkable success in real-world applications …
Towards Understanding the Generalization of Graph Neural Networks
H Tang, Y Liu - arXiv preprint arXiv:2305.08048, 2023 - arxiv.org
Graph neural networks (GNNs) are the most widely adopted model in graph-structured data
oriented learning and representation. Despite their extraordinary success in real-world …
oriented learning and representation. Despite their extraordinary success in real-world …
Towards Understanding Generalization of Graph Neural Networks
H Tang, Y Liu - openreview.net
Graph neural networks (GNNs) are widely used in machine learning for graph-structured
data. Even though GNNs have achieved remarkable success in real-world applications …
data. Even though GNNs have achieved remarkable success in real-world applications …