https://github.com/tgebhart/sheaf_kg_transind
공식 코드Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
Two-view Graph Neural Networks for Knowledge Graph Completion
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
Efficient Parallel Translating Embedding For Knowledge Graphs
Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.