april-tools / gekcsLinks
How to Turn Your Knowledge Graph Embeddings into Generative Models
☆52Updated 11 months ago
Alternatives and similar repositories for gekcs
Users that are interested in gekcs are comparing it to the libraries listed below
Sorting:
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 2 years ago
- ☆35Updated 6 months ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆69Updated 2 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆106Updated last week
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated 11 months ago
- ☆13Updated 4 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs☆97Updated 2 years ago
- ☆25Updated 3 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆15Updated 4 months ago
- Graph Positional and Structural Encoder☆51Updated 5 months ago
- A Python Library for Deep Probabilistic Modeling☆61Updated 8 months ago
- ☆10Updated 2 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆70Updated 4 years ago
- ☆77Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆50Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- ☆9Updated 2 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- Library that contains implementations of machine learning components in the hyperbolic space☆136Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆20Updated last year