chenweize1998 / fully-hyperbolic-nnLinks
Code for paper Fully Hyperbolic Neural Networks
☆84Updated 2 years ago
Alternatives and similar repositories for fully-hyperbolic-nn
Users that are interested in fully-hyperbolic-nn are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of Hyperbolic Neural Networks++☆78Updated 4 years ago
- Papers and Codes for the deep learning in hyperbolic space☆184Updated 3 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆158Updated 5 years ago
- Code to reproduce the results for Compositional Attention☆59Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆265Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆134Updated 5 years ago
- ☆29Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆46Updated 5 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆170Updated 10 months ago
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling☆67Updated 3 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- ☆33Updated 4 years ago
- This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generati…☆35Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- ☆22Updated 3 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- ☆42Updated 5 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago