Co-occurring keywords · papers mentioning both
Papers
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
ACL 2021
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding
AAAI 2021
Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations
ACL 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
ACL 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
JMLR 2021
Pykg2vec: A Python Library for Knowledge Graph Embedding
JMLR 2021
Question Answering Over Temporal Knowledge Graphs
ACL 2021
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification
EMNLP 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
NeurIPS 2021
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
NAACL 2021
Towards Automatic Bias Detection in Knowledge Graphs
EMNLP 2021
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
ACL 2021
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference
EMNLP 2021
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings
EMNLP 2020
An Industry Evaluation of Embedding-based Entity Alignment
COLING 2020
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding
COLING 2020
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
ACL 2020
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
EMNLP 2020
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
ACL 2020
BoxE: A Box Embedding Model for Knowledge Base Completion
NeurIPS 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
COLING 2020
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?
EMNLP 2020
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
ACL 2020
Composition-based Multi-Relational Graph Convolutional Networks
ICLR 2020