LuckyTiger123 / KAALinks
The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".
☆21Updated 5 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☆46Updated 8 months ago
- Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper☆57Updated last month
- Directional diffusion models☆42Updated 9 months ago
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆49Updated last year
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆300Updated last year
- ☆118Updated last year
- ☆27Updated last year
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆44Updated 4 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆44Updated 4 months ago
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆15Updated 8 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- ☆88Updated 2 years ago
- ☆54Updated 11 months ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆28Updated 9 months ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆34Updated last month
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆52Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆28Updated 2 years ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆66Updated last year
- This repository is the implementation of the model COLA from paper: Graph Contrastive Learning Meets Graph Meta Learning: A Unified Metho…☆12Updated 11 months ago
- The official implementation of the ICLR'24 paper RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-base…☆49Updated 11 months ago
- A curated list of papers on deep graph learning for drug discovery (DGL4DD).☆13Updated 2 years ago
- ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs☆73Updated last year
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆13Updated last year
- Official implementation of paper "Learning High-Order Relationships of Brain Regions" [ICML 2024]☆20Updated 2 months ago
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆305Updated last month
- This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.☆21Updated 2 years ago
- ☆88Updated 2 years ago
- ☆12Updated last year
- ☆31Updated last year