shuoyinn / LGI-GT
Code of the paper "LGI-GT: Graph Transformers with Local and Global Operators Interleaving"
☆12Updated last year
Alternatives and similar repositories for LGI-GT:
Users that are interested in LGI-GT are comparing it to the libraries listed below
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆33Updated 7 months ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆21Updated 8 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 10 months ago
- ☆22Updated 4 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆18Updated 7 months ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆14Updated 9 months ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 2 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆23Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆54Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆39Updated 8 months ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆41Updated last month
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 5 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆28Updated 7 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆21Updated 5 months ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆18Updated 2 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆48Updated last year
- Graph based Knowledge Distillation: A Survey☆64Updated last year
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆39Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 10 months ago
- ☆57Updated 2 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆32Updated 5 months ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 3 years ago