https://github.com/ellenzhuwang/VK_OOD
공식 코드Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
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.
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Contextualized Structural Self-supervised Learning for Ontology Matching
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
Textual Entailment for Effective Triple Validation in Object Prediction
Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Lost in Recursion: Mining Rich Event Semantics in Knowledge Graphs
Meta-Path Learning for Multi-relational Graph Neural Networks
Tackling Graphical NLP problems with Graph Recurrent Networks
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.