snap-stanford / ConE
☆21Updated 3 years ago
Alternatives and similar repositories for ConE:
Users that are interested in ConE are comparing it to the libraries listed below
- ☆34Updated last year
- RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding☆33Updated this week
- Codes for WWW2022 accepted paper: SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs☆68Updated 2 years ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)☆89Updated last year
- ☆22Updated 3 years ago
- Logical Message Passing Networks with One-hop Inference in Atomic Formulas (ICLR 2023)☆15Updated last year
- Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport (Findings-ACL 2023)☆13Updated last year
- EMNLP 22' (Oral): SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning☆34Updated last year
- This repository includes the source-code and dataset used in our CIKM2022 paper titled 'Commonsense Knowledge Base Completion with Relati…☆30Updated 2 years ago
- The official Pytorch implementation of "UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledg…☆13Updated 2 years ago
- kgTransformer: pre-training for reasoning over complex KG queries (KDD 22)☆85Updated 8 months ago
- Learning to Walk with Dual Agents for Knowledge Graph Reasoning (AAAI'22)☆38Updated 2 years ago
- Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach☆46Updated 2 years ago
- COLING 2022: Knowledge Is Flat: A Seq2Seq Generative framework For Various Knowledge Graph Completion☆29Updated 2 years ago
- An implement of CompGCN in Pytorch and DGL.☆34Updated 5 months ago
- I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning, CIKM 2022☆24Updated 2 years ago
- Official Repository for ICLR 2023 Paper: Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning☆11Updated last year
- Source code for "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"