marlin-codes / Awesome-Hyperbolic-Representation-and-Deep-LearningLinks
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
☆541Updated 3 months ago
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☆184Updated 3 years ago
- Papers about graph transformers.☆913Updated 8 months ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆170Updated 10 months ago
- ☆356Updated 10 months ago
- ☆220Updated 2 years ago
- ☆38Updated 3 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆556Updated 2 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆223Updated last month
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆653Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- Official PyTorch implementation of Hyperbolic Neural Networks++☆78Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆265Updated 3 years ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆230Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆209Updated 10 months ago
- Accompanied repositories for our paper Graph foundation model☆227Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆797Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆167Updated last week
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆342Updated 2 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆304Updated 9 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆166Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- a collection of AWESOME things about Optimal Transport in Deep Learning☆315Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆93Updated 5 months ago
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆317Updated last year
- Transformer-based Spectral Graph Neural Networks☆84Updated last year
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆51Updated 6 months ago
- Official Pytorch code for Structure-Aware Transformer.☆262Updated 2 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago
- A curated list of graph data augmentation papers.☆314Updated last year