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Found 3 papers, 1 papers with code
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
Higher-order link prediction is the task of predicting the existence of a missing hyperedge in a hypergraph.
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).
GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning
We show that this vector representation is $1$-Lipschitz stable and differentiable with respect to underlying filtration functions and can be easily integrated into machine learning models to augment encoding topological features.
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