limengran98 / HGTN
The codes of Hpyergraph Transformer Nerual Networks.
☆20Updated 11 months ago
Alternatives and similar repositories for HGTN:
Users that are interested in HGTN are comparing it to the libraries listed below
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated 11 months ago
- UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.☆11Updated last month
- ☆10Updated last year
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆17Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆30Updated 4 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 3 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆10Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆11Updated last year
- ☆14Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Graph based Knowledge Distillation: A Survey☆67Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 6 months ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆15Updated 4 months ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Published as a conference paper at ICLR 2024☆23Updated last year
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 3 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 11 months ago
- ☆33Updated last month
- Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"☆31Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆36Updated 10 months ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"☆17Updated 5 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year