https://github.com/qcri/rdfframes
공식 코드RDFFrames: Knowledge Graph Access for Machine Learning Tools
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
RDFFrames: Knowledge Graph Access for Machine Learning Tools
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
Conditional Logical Message Passing Transformer for Complex Query Answering
Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
A Simple Approach to Case-Based Reasoning in Knowledge Bases
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
Parameter-Efficient Conversational Recommender System as a Language Processing Task
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Text Generation from Knowledge Graphs with Graph Transformers
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.