[Doc] add 4 papers to awesome (#2836)

README.md

@@ -309,6 +309,14 @@ We are currently in Beta stage.  More features and improvements are coming.
 
 1. [**Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data**](https://github.com/danielecastellana22/tensor-tree-nn), ESANN'20, *Daniele Castellana, Davide Bacciu*
 
+1. [**Combining Self-Organizing and Graph Neural Networks for Modeling Deformable Objects in Robotic Manipulation**](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806087/), Frotiers in Robotics and AI, *Valencia, Angel J., and Pierre Payeur*
+
+1. [**Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks**](https://www.sciencedirect.com/science/article/abs/pii/S0031320321000467), Pattern Recognition, *Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu*
+
+1. [**Toward Accurate Predictions of Atomic Properties via Quantum Mechanics Descriptors Augmented Graph Convolutional Neural Network: Application of This Novel Approach in NMR Chemical Shifts Predictions**](https://pubs.acs.org/doi/full/10.1021/acs.jpclett.0c02654), The Journal of Physical Chemistry Letters, *Peng Gao, Jie Zhang, Yuzhu Sun, and Jianguo Yu*
+
+1. [**A Graph Neural Network to Model User Comfort in Robot Navigation**](https://arxiv.org/abs/2102.08863), *Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar, Pablo Bustos, Diego R. Faria, Luis J. Manso*
+
 </details>
 
 ## Installation