SOTAVerified

Graph Neural Network

Papers

Showing 526550 of 3598 papers

TitleStatusHype
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography0
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyCode0
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems0
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties0
Predicting building types and functions at transnational scale0
Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks0
Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model0
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model0
Learning incomplete factorization preconditioners for GMRESCode1
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks0
Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning0
Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video0
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique GraphsCode0
Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural NetworkCode0
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers0
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code0
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks0
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks0
Generative Hierarchical Materials Search0
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks0
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for RecommendationCode0
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modelingCode1
Stress Predictions in Polycrystal Plasticity using Graph Neural Networks with Subgraph TrainingCode0
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1Unverified