marlin-codes / Awesome-Hyperbolic-Representation-and-Deep-LearningLinks
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
☆502Updated last month
Alternatives and similar repositories for Awesome-Hyperbolic-Representation-and-Deep-Learning
Users that are interested in Awesome-Hyperbolic-Representation-and-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Papers and Codes for the deep learning in hyperbolic space☆178Updated 2 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆167Updated 7 months ago
- Papers about graph transformers.☆900Updated 4 months ago
- ☆32Updated 7 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆283Updated 6 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆635Updated last year
- Official PyTorch implementation of Hyperbolic Neural Networks++☆72Updated 4 years ago
- ☆213Updated 2 years ago
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆299Updated last year
- ☆345Updated 7 months ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆294Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆535Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆205Updated last month
- ☆78Updated 9 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆199Updated 7 months ago
- An index of algorithms for few-shot learning/meta-learning on graphs☆157Updated 3 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 2 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆766Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆162Updated last month
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆342Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆263Updated 3 years ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆215Updated 8 months ago
- Accompanied repositories for our paper Graph foundation model☆211Updated 8 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- ☆118Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 10 months ago