LuckyTiger123 / KAALinks
The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".
☆30Updated 9 months ago
Alternatives and similar repositories for KAA
Users that are interested in KAA are comparing it to the libraries listed below
Sorting:
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆51Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆46Updated 3 weeks ago
- Directional diffusion models☆43Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆323Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆50Updated 2 years ago
- Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper☆73Updated 2 months ago
- This repository is the implementation of the model COLA from paper: Graph Contrastive Learning Meets Graph Meta Learning: A Unified Metho…☆12Updated last year
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆46Updated 8 months ago
- ☆37Updated 8 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆56Updated 2 years ago
- The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Lea…☆67Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆67Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"☆21Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆39Updated 8 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆49Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year
- ☆349Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆19Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Updated 2 years ago
- ☆220Updated 2 years ago
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆35Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Updated 3 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago