Post #130

ICLR 2020, Day 1 Here is a list of interesting papers (and their links to ICLR portal) of Day 1. 1. On Universal Equivariant Set Networks portal link 2. Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs portal link 3. GraphSAINT: Graph Sampling Based Inductive Learning Method portal link 4. Measuring and Improving the Use of Graph Information in Graph Neural Networks portal link 5. Deep Double Descent: Where Bigger Models and More Data Hurt portal link 6. GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation portal link 7. Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning portal link 8. You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings portal link 9. Deep Graph Matching Consensus portal link 10. PairNorm: Tackling Oversmoothing in GNNs portal link 11. Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning portal link 12. Making Efficient Use of Demonstrations to Solve Hard Exploration Problems portal link 13. LambdaNet: Probabilistic Type Inference using Graph Neural Networks portal link 14. StructPool: Structured Graph Pooling via Conditional Random Fields portal link 15. Implementation Matters in Deep RL: A Case Study on PPO and TRPO portal link