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Graph Neural Network
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
Multi-Channel Graph Neural Network for Financial Risk Prediction of NEEQ Enterprises
Catching Bid-rigging Cartels with Graph Attention Neural Networks
Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
Task-Agnostic Contrastive Pretraining for Relational Deep Learning
Directed Link Prediction using GNN with Local and Global Feature Fusion
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning
Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications
DOVA-PATBM: An Intelligent, Adaptive, and Scalable Framework for Optimizing Large-Scale EV Charging Infrastructure
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection
Refining music sample identification with a self-supervised graph neural network
Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics
Graph Semi-Supervised Learning for Point Classification on Data Manifolds
Directed Acyclic Graph Convolutional Networks
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
HGFormer: A Hierarchical Graph Transformer Framework for Two-Stage Colonel Blotto Games via Reinforcement Learning
ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity
MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection
EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.