graphkolarnoldnetwork / gkanLinks
gkan
☆18Updated last year
Alternatives and similar repositories for gkan
Users that are interested in gkan are comparing it to the libraries listed below
Sorting:
- ☆350Updated last year
- Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]☆61Updated last year
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆167Updated 3 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆69Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆52Updated 2 months ago
- This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.☆21Updated 2 years ago
- Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper☆76Updated 3 months ago
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆335Updated 2 years ago
- Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.☆314Updated 2 years ago
- ☆221Updated 2 years ago
- ☆95Updated 2 years ago
- ☆242Updated last year
- A curated list of papers on deep graph learning for drug discovery (DGL4DD).☆15Updated 2 years ago
- ☆33Updated last year
- This repository mainly lists some the latest research on graph neural network theory.☆98Updated 2 years ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆498Updated 10 months ago
- ☆21Updated 2 years ago
- [AAAI24]Transformer-based relation-aware graph representation learning framework for DDI prediction☆16Updated 2 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆129Updated 2 years ago
- 图卷积网络模型代码 | Graph Convolutional Network Code | Pytorch☆18Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 5 months ago
- Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)☆16Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆828Updated last year
- Official code implementation of PremuNet model.☆16Updated 8 months ago
- The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".☆50Updated last year
- ☆10Updated last year
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆16Updated 8 months ago
- ☆138Updated 7 months ago
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆22Updated last year
- This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data☆382Updated 7 months ago