Post #135

ICLR 2020, Day 3 Day 3 has posters for Reformer 🤖, theory for GNN 📚, deep learning for mathematics ✍️, and much more. Check out these papers. 1. Reformer: The Efficient Transformer portal link 2. Graph Neural Networks Exponentially Lose Expressive Power for Node Classification portal link 3. Neural Execution of Graph Algorithms portal link 4. Mathematical Reasoning in Latent Space portal link 5. Deep Learning For Symbolic Mathematics portal link 6. Graph Convolutional Reinforcement Learning portal link 7. Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation portal link 8. Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings portal link 9. A Fair Comparison of Graph Neural Networks for Graph Classification portal link 10. Inductive representation learning on temporal graphs portal link 11. Inductive and Unsupervised Representation Learning on Graph Structured Objects portal link