iesl / geometric-graph-embedding
☆13Updated last week
Related projects ⓘ
Alternatives and complementary repositories for geometric-graph-embedding
- Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.☆25Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆24Updated last year
- Code accompanying the paper "Knowledge Base Completion Meets Transfer Learning"☆14Updated 9 months ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 3 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- ☆15Updated 3 years ago
- Conditional Theorem Proving☆51Updated 3 years ago
- "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning☆15Updated 4 years ago
- A paper list for box embeddings☆18Updated 3 years ago
- ☆20Updated last year
- Code for our NeurIPS 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava…☆25Updated 4 years ago
- The Implementation for the Paper "Time-Stamped Language Model: Teaching Language Models toUnderstand The Flow of Events"☆11Updated 3 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Experiments of ACL 2018 paper box embeddings☆32Updated 5 years ago
- ☆17Updated 3 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 2 years ago
- Hypernetwork Knowledge Graph Embeddings☆53Updated 5 years ago
- Natural Language Inference is fundamental to many Natural Language Processing applications such as semantic search and question answering…☆42Updated last year
- Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)☆16Updated 7 months ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆49Updated 3 years ago
- Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs☆95Updated 2 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆16Updated 4 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 5 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
- Code for hyperboloid embeddings for knowledge graph entities☆36Updated last year
- Graph4NLP is the library for the easy use of Graph Neural Networks for Natural Language Processing☆15Updated 3 years ago
- Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".☆13Updated 2 years ago
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.☆31Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆27Updated 4 years ago
- Must-read papers on Knowledge Graph Embedding☆25Updated 4 years ago