@@ -256,6 +256,19 @@ We are currently in Beta stage. More features and improvements are coming.
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@@ -256,6 +256,19 @@ We are currently in Beta stage. More features and improvements are coming.
1.[**Systematic Generalization on gSCAN with Language Conditioned Embedding**](https://arxiv.org/abs/2009.05552), AACL-IJCNLP'20, *Tong Gao, Qi Huang, Raymond J. Mooney*
1.[**Systematic Generalization on gSCAN with Language Conditioned Embedding**](https://arxiv.org/abs/2009.05552), AACL-IJCNLP'20, *Tong Gao, Qi Huang, Raymond J. Mooney*
1.[**Automatic selection of clustering algorithms using supervised graph embedding**](https://arxiv.org/pdf/2011.08225.pdf), *Noy Cohen-Shapira, Lior Rokach*
1.[**Improving Learning to Branch via Reinforcement Learning**](https://openreview.net/forum?id=z4D7-PTxTb), *Haoran Sun, Wenbo Chen, Hui Li, Le Song*
1.[**A Practical Guide to Graph Neural Networks**](https://arxiv.org/pdf/2010.05234.pdf), *Issac Ronald Ward, Jack Joyner, Casey Lickfold, Stash Rowe, Yulan Guo, Mohammed Bennamoun*, [code](https://github.com/isolabs/gnn-tutorial)
1.[**Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks**](https://arxiv.org/pdf/2009.14455.pdf), *Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias*
1.[**Computing Graph Neural Networks: A Survey from Algorithms to Accelerators**](https://arxiv.org/pdf/2010.00130.pdf), *Sergi Abadal, Akshay Jain, Robert Guirado, Jorge López-Alonso, Eduard Alarcón*