https://github.com/saccharomycetes/text-based-traffic
공식 코드Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
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.
Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering
Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata using LLMs
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
Evaluating Agent Interactions Through Episodic Knowledge Graphs
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Decompressing Knowledge Graph Representations for Link Prediction
AutoLLM-CARD: Towards a Description and Landscape of Large Language Models
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Finding Streams in Knowledge Graphs to Support Fact Checking
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Revisiting Inferential Benchmarks for Knowledge Graph Completion
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs
Retrieval Augmented Generation using Engineering Design Knowledge
Retrieval Augmented Generation using Engineering Design Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.