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09/16/2023
Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography
The existing image steganography methods either sequentially conceal sec...
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06/20/2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Graph structure learning is a well-established problem that aims at opti...
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06/14/2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Graph neural networks have been extensively studied for learning with in...
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01/23/2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Real-world data generation often involves complex inter-dependencies amo...
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11/28/2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Adding perturbations via utilizing auxiliary gradient information or dis...
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12/19/2020
A pipeline for fair comparison of graph neural networks in node classification tasks
Graph neural networks (GNNs) have been investigated for potential applic...
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03/11/2018