zekarias-tilahun / graph-surgeon
A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Supervised GNNs" papers, which appeared at Neurips2021 Workshop on Self-Supervised Learning - Theory and Practice
☆12Updated 2 years ago
Related projects: ⓘ
- ☆30Updated last year
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆19Updated 9 months ago
- ☆29Updated 2 years ago
- ☆13Updated 3 years ago
- ☆13Updated this week
- Graph Positional and Structural Encoder☆39Updated 2 months ago
- Course Project for CS224W at Stanford☆21Updated 2 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆15Updated 3 years ago
- Graph Transformers for Large Graphs☆19Updated 4 months ago
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆26Updated 2 years ago
- Variational Graph Convolutional Networks☆20Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆44Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆34Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆34Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆28Updated 11 months ago
- ☆15Updated 9 months ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆74Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆23Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆16Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆45Updated 3 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆22Updated 11 months ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆57Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆24Updated 2 years ago
- ☆16Updated 2 years ago
- ☆13Updated last year