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graph construction
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation
SLIDE: Sliding Localized Information for Document Extraction
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
Enhancing Steering Estimation with Semantic-Aware GNNs
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
R$^2$: A LLM Based Novel-to-Screenplay Generation Framework with Causal Plot Graphs
GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
A Graph-based Verification Framework for Fact-Checking
SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models
AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks
Deal: Distributed End-to-End GNN Inference for All Nodes
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Scalable Graph Attention-based Instance Selection via Mini-Batch Sampling and Hierarchical Hashing
PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport
Few-shot Continual Relation Extraction via Open Information Extraction
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers
AutoG: Towards automatic graph construction from tabular data
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning
UFGraphFR: An attempt at a federated recommendation system based on user text characteristics
Hierarchical Superpixel Segmentation via Structural Information Theory
E2ESlack: An End-to-End Graph-Based Framework for Pre-Routing Slack Prediction
Improving Skeleton-based Action Recognition with Interactive Object Information
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation
Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema
A Rhetorical Relations-Based Framework for Tailored Multimedia Document Summarization
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
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