LF-WEN / HGDMLinks
Official implementation of the paper: "Hyperbolic Graph Diffusion Model"
☆13Updated last year
Alternatives and similar repositories for HGDM
Users that are interested in HGDM are comparing it to the libraries listed below
Sorting:
- Directional diffusion models☆43Updated last year
- ☆36Updated 10 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- The code for "Deep Contrastive Graph Learning with Clustering-Oriented Guidance" (AAAI24).☆19Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)☆20Updated last year
- ☆15Updated 2 years ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆14Updated last year
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆31Updated last year
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆41Updated last year
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆26Updated last year
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆21Updated 2 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Updated 2 years ago
- Pytorch implementation for Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space (KDD 2024)☆35Updated 5 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆51Updated last year
- ☆21Updated 2 years ago
- ☆11Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆47Updated 2 years ago
- The official repo for "Self-weighted Contrastive Fusion for Deep Multi-view clustering" (TMM IF:8.4)☆37Updated last year
- The code will come soon.☆15Updated 4 months ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆13Updated 2 years ago
- This repository lists related work using MVC methods for applications.☆18Updated 2 years ago
- ACM MM 2023: Self-contrastive graph diffusion network☆17Updated 2 years ago
- [NeurIPS 2025 Spotlight] SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering [Pytorch repository]☆37Updated last month
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 3 years ago