https://github.com/aistairc/vhakg-tools
공식 코드VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Link to A Survey for Multi-modal Knowledge Graphs. Papers integrating Knowledge Graphs (KGs) and Multi-Modal Learning, focusing on research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
Noise-powered Multi-modal Knowledge Graph Representation Framework
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.