GiuseppeMarra / nmln
Neural Markov Logic Networks
☆11Updated 3 years ago
Alternatives and similar repositories for nmln:
Users that are interested in nmln are comparing it to the libraries listed below
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆47Updated 2 years ago
- Knowledge Hypergraphs: Prediction Beyond Binary Relations is a ServiceNow Research project that was started at Element AI.☆31Updated 2 years ago
- Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation☆20Updated last year
- Conditional Theorem Proving☆51Updated 3 years ago
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆35Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆26Updated 5 months ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 8 months ago
- ☆33Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- ☆34Updated last year
- Resources for Tutorial on Neuro-Symbolic Representations for IR☆14Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆13Updated last month
- Official code repository for the main conference paper in ACL2023: COLA: Contextualized Commonsense Causality Reasoning from the Causal I…☆27Updated last year
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆29Updated 2 years ago
- DRUM end to end differentiable rule mining on knowledge graphs☆52Updated 3 years ago
- RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding☆34Updated last month
- Language Models as Hierarchy Encoders☆22Updated 3 weeks ago
- ☆26Updated 3 years ago
- PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023☆57Updated last year
- CauseNet: Towards a Causality Graph Extracted from the Web☆21Updated 4 years ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆102Updated 5 months ago
- Unified benchmark and model for causal text mining☆21Updated last year
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- A curated paper list on neural symbolic and probabilistic logic.☆121Updated last year
- Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs☆95Updated 2 years ago
- ☆27Updated 6 months ago
- Hierarchical Transformers for Knowledge Graph Embeddings (EMNLP 2021)☆79Updated 7 months ago
- CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. ACL 2022☆55Updated 2 years ago
- ☆15Updated last year
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆111Updated 9 months ago