amazon-science / hyperbolic-embeddingsLinks
Code for hyperboloid embeddings for knowledge graph entities
☆38Updated last month
Alternatives and similar repositories for hyperbolic-embeddings
Users that are interested in hyperbolic-embeddings are comparing it to the libraries listed below
Sorting:
- Code for paper OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision☆25Updated 3 years ago
- ECLARE: Extreme Classification with Label Graph Correlations☆42Updated 3 years ago
- This repo contains the code and data used in the paper "Wizard of Search Engine: Access to Information Through Conversations with Search …☆22Updated 4 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆27Updated 2 years ago
- ☆33Updated 6 years ago
- Using pretrained language models for biomedical knowledge graph completion.☆47Updated 3 years ago
- Code for Stage-wise Fine-tuning for Graph-to-Text Generation☆26Updated 2 years ago
- Multimodal Transformers for biomedical text and Knowledge Graph data☆34Updated 2 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- Unifew: Unified Fewshot Learning Model☆18Updated 3 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆50Updated 3 years ago
- ☆12Updated 3 years ago
- A Dataset for Conversational Recommendation over KnowledgeGraph in E-commerce☆52Updated 3 years ago
- [KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.☆17Updated 4 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- PERM GaussianKG☆11Updated 3 years ago
- A paper list for box embeddings☆18Updated 4 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 4 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆33Updated last year
- Few-shot Learning with Auxiliary Data☆28Updated last year
- CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models☆11Updated 2 years ago
- Code supporting the paper Graph-Embedding Empowered Entity Retrieval☆24Updated 3 months ago
- ☆14Updated 2 years ago
- Knowledge graph based information retrieval☆13Updated 6 years ago
- Using Huggingface to generate relation expressions☆15Updated 4 years ago
- Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselu…☆16Updated 4 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆17Updated 4 years ago
- Conditional Theorem Proving☆53Updated 4 years ago