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Graph Neural Network

Papers

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Showing 1851–1900 of 3598 papers

TitleStatusHype
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data—0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Frequency Analysis for Graph Convolution Network—0
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS—0
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks—0
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach—0
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason—0
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach—0
Full-Precision Free Binary Graph Neural Networks—0
Fully Convolutional Graph Neural Networks using Bipartite Graph Convolutions—0
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On—0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty—0
Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions—0
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network—0
G3raphGround: Graph-Based Language Grounding—0
GABAR: Graph Attention-Based Action Ranking for Relational Policy Learning—0
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds—0
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce—0
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization—0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs—0
Gait-based Age Group Classification with Adaptive Graph Neural Network—0
GANExplainer: GAN-based Graph Neural Networks Explainer—0
GATology for Linguistics: What Syntactic Dependencies It Knows—0
Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video—0
Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation—0
Gauss-Newton Unrolled Neural Networks and Data-driven Priors for Regularized PSSE with Robustness—0
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention—0
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework—0
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network—0
GDDR: GNN-based Data-Driven Routing—0
GDP: Generalized Device Placement for Dataflow Graphs—0
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties—0
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning—0
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning—0
Generalizable Machine Learning in Neuroscience using Graph Neural Networks—0
Generalization of Compositional Tasks with Logical Specification via Implicit Planning—0
Generalization of graph network inferences in higher-order graphical models—0
Generalized energy and gradient flow via graph framelets—0
Generating Accurate Electronic Health Assessment from Medical Graph—0
Generating Adversarial Examples with Graph Neural Networks—0
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning—0
Generating High-Precision Force Fields for Molecular Dynamics Simulations to Study Chemical Reaction Mechanisms using Molecular Configuration Transformer—0
Generating Logical Forms from Graph Representations of Text and Entities—0
Generating Robust Counterfactual Witnesses for Graph Neural Networks—0
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection—0
Generation of Human-aware Navigation Maps using Graph Neural Networks—0
Generative Design of inorganic compounds using deep diffusion language models—0
Generative Diffusion Models for Resource Allocation in Wireless Networks—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified