april-tools / gekcs
How to Turn Your Knowledge Graph Embeddings into Generative Models
☆50Updated 8 months ago
Alternatives and similar repositories for gekcs:
Users that are interested in gekcs are comparing it to the libraries listed below
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆48Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆66Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆76Updated last year
- ☆34Updated 3 months ago
- Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clr…☆17Updated last year
- Graph Self-Supervised Learning Toolkit☆26Updated this week
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆77Updated 3 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆70Updated last year
- Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs☆96Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)☆89Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆88Updated this week
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- A library for subgraph GNN based on pyg☆41Updated 3 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆77Updated 8 months ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- A Python Library for Deep Probabilistic Modeling☆60Updated 4 months ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆18Updated this week
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆84Updated 2 years ago
- ☆116Updated last year
- This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relati…☆16Updated 7 months ago
- ☆33Updated 3 months ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆26Updated 5 months ago
- ☆34Updated last year
- ☆10Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago