Add Set2Set citation
@@ -94,6 +94,7 @@ The following graph convolutional neural networks are currently supported:
- GAT: Graph Attention Networks [15]
- GIN: Graph Isomorphism Networks [17]
- MPNN: Message Passing Neural Networks [3]
+- Set2Set [19]
We test supporting the brand-new Graph Warp Module (GWM) [18]-attached models for:
- NFP ('nfp_gwm')
@@ -182,3 +183,5 @@ papers. Use the library at your own risk.
[17] Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka, ``How Powerful are Graph Neural Networks?'', arXiv:1810.00826 [cs.LG], 2018 (to appear at ICLR19).
[18] K. Ishiguro, S. Maeda, and M. Koyama, ``Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks'', arXiv:1902.01020 [cs.LG], 2019.
+
+[19] Oriol Vinyals, Samy Bengio, Manjunath Kudlur. Order Matters: Sequence to sequence for sets. *arXiv preprint arXiv:1511.06391*, 2015.
