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Graph Neural Network

Papers

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Showing 2301–2350 of 3598 papers

TitleStatusHype
Review of Digital Asset Development with Graph Neural Network Unlearning—0
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network—0
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack—0
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion—0
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering—0
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach—0
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?—0
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks—0
Rewiring Networks for Graph Neural Network Training Using Discrete Geometry—0
Rewiring with Positional Encodings for Graph Neural Networks—0
RGI : Regularized Graph Infomax for self-supervised learning on graphs—0
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis—0
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network—0
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources—0
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework—0
RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection—0
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks—0
Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks—0
Road Extraction from Overhead Images with Graph Neural Networks—0
Road Network Representation Learning: A Dual Graph based Approach—0
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing—0
Robust Graph Neural Networks for Stability Analysis in Dynamic Networks—0
Robust Graph Representation Learning via Predictive Coding—0
Robustifying the Multi-Scale Representation of Neural Radiance Fields—0
Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit—0
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability—0
Robust Reinforcement Learning on Graphs for Logistics optimization—0
R-ODE: Ricci Curvature Tells When You Will be Informed—0
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer—0
Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments—0
Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances—0
Rotation Averaging with Attention Graph Neural Networks—0
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation—0
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation—0
RSGT: Relational Structure Guided Temporal Relation Extraction—0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
Rumor Detection with a novel graph neural network approach—0
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset—0
Open-World Distributed Robot Self-Localization with Transferable Visual Vocabulary and Both Absolute and Relative Features—0
SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids—0
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting—0
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery—0
Saliency-Aware Regularized Graph Neural Network—0
SAM-guided Graph Cut for 3D Instance Segmentation—0
Sampling and Recovery of Graph Signals based on Graph Neural Networks—0
Sampling-based Distributed Training with Message Passing Neural Network—0
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation—0
SATformer: Transformer-Based UNSAT Core Learning—0
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing—0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified