Towards robust graph neural networks for noisy graphs with sparse labels

E Dai, W Jin, H Liu, S Wang - … Conference on Web Search and Data …, 2022 - dl.acm.org
Graph Neural Networks (GNNs) have shown their great ability in modeling graph structured
data. However, real-world graphs usually contain structure noises and have limited labeled …
被引用次数：81 相关文章
[PDF] nsf.gov

[PDF][PDF] Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

E Dai, W Jin, H Liu, S Wang - In Proceedings of the Fifteenth ACM …, 2022 - par.nsf.gov
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Page 1
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai † …
[PDF] researchgate.net

[PDF][PDF] Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

E Dai, W Jin, H Liu, S Wang - 2022 - researchgate.net
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Page 1
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai † …

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

E Dai, W Jin, H Liu, S Wang - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract Graph Neural Networks (GNNs) have shown their great ability in modeling graph
structured data. However, real-world graphs usually contain structure noises and have …

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

E Dai, W Jin, H Liu, S Wang - arXiv preprint arXiv:2201.00232, 2022 - arxiv.org
Graph Neural Networks (GNNs) have shown their great ability in modeling graph structured
data. However, real-world graphs usually contain structure noises and have limited labeled …

Towards robust graph neural networks for noisy graphs with sparse labels

E Dai, W Jin, H Liu, S Wang - … Conference on Web Search and Data …, 2022 - pure.psu.edu
Abstract Graph Neural Networks (GNNs) have shown their great ability in modeling graph
structured data. However, real-world graphs usually contain structure noises and have …