| Learning and Generalizing Polynomials in Simulation Metamodeling | Jul 20, 2023 | EpidemiologyInductive Bias | CodeCode Available | 0 | 5 |
| Leap: Inductive Link Prediction via Learnable TopologyAugmentation | Mar 5, 2025 | Graph Neural NetworkInductive Bias | CodeCode Available | 0 | 5 |
| Learning Continuous Rotation Canonicalization with Radial Beam Sampling | Jun 21, 2022 | Inductive Bias | CodeCode Available | 0 | 5 |
| Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing | Aug 19, 2022 | Computational EfficiencyDecoder | CodeCode Available | 0 | 5 |
| Learning to Rank Patches for Unbiased Image Redundancy Reduction | Mar 31, 2024 | Image ReconstructionInductive Bias | CodeCode Available | 0 | 5 |
| Learning to reason over visual objects | Mar 3, 2023 | Inductive BiasVisual Reasoning | CodeCode Available | 0 | 5 |
| Investigating the Interplay between Features and Structures in Graph Learning | Aug 18, 2023 | Graph LearningInductive Bias | CodeCode Available | 0 | 5 |
| Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems | May 11, 2019 | Feature EngineeringGraph Neural Network | CodeCode Available | 0 | 5 |
| Graph neural networks and non-commuting operators | Nov 6, 2024 | Inductive Bias | CodeCode Available | 0 | 5 |
| Graph networks as learnable physics engines for inference and control | Jun 4, 2018 | Inductive BiasWeather Forecasting | CodeCode Available | 0 | 5 |
