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Dynamic graph embedding
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Extracting triples from dialogues for conversational social agents
Knowledge Graphs: The Future of Data Integration and Insightful Discovery
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Non-Progressive Influence Maximization in Dynamic Social Networks
Local Intrinsic Dimensionality for Dynamic Graph Embeddings
DELE: Deductive $\mathcal{EL}^{++} \thinspace $ Embeddings for Knowledge Base Completion
Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis
Valid Conformal Prediction for Dynamic GNNs
Pre-training and Diagnosing Knowledge Base Completion Models
Evaluating the Knowledge Base Completion Potential of GPT
DySuse: Susceptibility Estimation in Dynamic Social Networks
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Knowledge Base Completion for Long-Tail Entities
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
Predicting affinity ties in a surname network
Lattice-preserving $\mathcal{ALC}$ ontology embeddings with saturation
Evaluating Language Models for Knowledge Base Completion
Causal Lifting and Link Prediction
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion
Instance-based Learning for Knowledge Base Completion
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Parameter-free Dynamic Graph Embedding for Link Prediction
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
FALCON: Scalable Reasoning over Inconsistent ALC Ontologies
Effective Few-Shot Named Entity Linking by Meta-Learning
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
HEAT: Hyperedge Attention Networks
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
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