njmarko / graph-transformer-psiml
Transformer implemented with graph attention network (GAT) layers from PyTorch Geometric
☆17Updated 2 years ago
Alternatives and similar repositories for graph-transformer-psiml:
Users that are interested in graph-transformer-psiml are comparing it to the libraries listed below
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆18Updated last year
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆22Updated last year
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated 11 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆38Updated 8 months ago
- Position Prediction as an Effective Pretraining Strategy☆8Updated last year
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Updated 2 years ago
- Diffusion based transformer, in PyTorch (Experimental).☆24Updated 2 years ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated this week
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Experiment different Neural Networks to classify graph nodes on citation networks datasets☆11Updated 2 years ago
- ☆32Updated last year
- ☆13Updated last year
- Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)☆25Updated 3 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"