LuckyTiger123 / KAALinks
The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".
☆30Updated 10 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
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆328Updated last year
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆46Updated 9 months ago
- [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☆75Updated 2 months ago
- Directional diffusion models☆43Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆50Updated last month
- This repository is the implementation of the model COLA from paper: Graph Contrastive Learning Meets Graph Meta Learning: A Unified Metho…☆12Updated last year
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆57Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆35Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆152Updated 6 months ago
- ☆351Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆68Updated last year
- ☆35Updated 9 months ago
- ☆30Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆15Updated last year
- ☆12Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆65Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)☆16Updated last year
- Official implementation of SAGNN☆19Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- ☆58Updated 3 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year