CharlotteMagister / GCExplainerLinks
☆18Updated last year
Alternatives and similar repositories for GCExplainer
Users that are interested in GCExplainer are comparing it to the libraries listed below
Sorting:
- ☆16Updated 4 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- ☆25Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- ☆12Updated 4 years ago
- ☆31Updated 2 years ago
- Approximate subgraph motif mining through learnable edge contraction.☆13Updated last year
- Python-based persistent homology algorithms☆19Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Differentiable Euler Characteristic Transform☆17Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Weekly reading group on Graph Representation Learning at Mila☆18Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆28Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- ☆17Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 3 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆50Updated 2 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆81Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Paper list for equivariant neural network☆10Updated 3 years ago
- ☆12Updated 5 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago
- ☆24Updated last year
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated 10 months ago
- Repository for ICLR'23 Long-tailed Learning Requires Feature Learning☆10Updated 2 years ago