xiaoiker / Awesome-Hyperbolic-NeuralNetworks

Related projects ⓘ

Alternatives and complementary repositories for Awesome-Hyperbolic-NeuralNetworks

• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆63Updated 3 years ago
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆137Updated 5 months ago
• chenweize1998 / fully-hyperbolic-nn
  Code for paper Fully Hyperbolic Neural Networks
  ☆75Updated last year
• marlin-codes / Awesome-Hyperbolic-Representation-and-Deep-Learning
  Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
  ☆373Updated 2 months ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆62Updated 2 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆245Updated 2 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆84Updated 5 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆106Updated last year
• junhocho / HGCAE
  HGCAE Pytorch implementation. CVPR2021 accepted.
  ☆43Updated last year
• lcosmo / DGM_pytorch
  ☆49Updated 2 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 2 years ago
• stadlmax / Graph-Posterior-Network
  Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
  ☆40Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆60Updated last year
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆77Updated last year
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 3 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆124Updated 4 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆104Updated last year
• rjiang03 / HCL-OT
  ☆11Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆74Updated last month
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆106Updated 3 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆58Updated 2 years ago
• danielgreenfeld3 / XIC
  Robust Learning with the Hilbert-Schmidt Independence Criterion
  ☆43Updated 4 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆48Updated 2 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated last year
• jhaochenz96 / spectral_contrastive_learning
  ☆19Updated 3 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆279Updated 11 months ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆118Updated 2 years ago
• JindouDai / H2H-GCN
  ☆15Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆67Updated last year
• jw9730 / tokengt
  [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
  ☆318Updated last year