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Graph Neural Network

Papers

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Showing 1151–1200 of 3598 papers

TitleStatusHype
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking—0
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
Mixture of Weak & Strong Experts on GraphsCode1
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—0
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acidsCode1
AI-accelerated Discovery of Altermagnetic MaterialsCode1
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality InteractionCode1
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment—0
Operational risk quantification of power grids using graph neural network surrogates of the DC OPF—0
Edge2Node: Reducing Edge Prediction to Node Classification—0
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI DataCode0
Distributed Matrix-Based Sampling for Graph Neural Network Training—0
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach—0
Pairing-based graph neural network for simulating quantum materials—0
A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics—0
Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based GamesCode0
Graph Neural Networks for Topological Feature Extraction in ECG Classification—0
ATGNN: Audio Tagging Graph Neural Network—0
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent—0
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion—0
Robust Graph Clustering via Meta Weighting for Noisy GraphsCode0
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures—0
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network—0
Autoregressive Renaissance in Neural PDE Solvers—0
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation—0
Topological, or Non-topological? A Deep Learning Based Prediction—0
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network—0
Maximum Independent Set: Self-Training through Dynamic ProgrammingCode0
One Model Fits All: Cross-Region Taxi-Demand Forecasting—0
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs—0
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation—0
Learning the dynamics of a one-dimensional plasma model with graph neural networksCode0
A Hybrid Graph Network for Complex Activity Detection in Video—0
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance—0
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation—0
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic GraphsCode1
Cross-view Self-localization from Synthesized Scene-graphs—0
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed GraphsCode1
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries—0
A Hybrid GNN approach for predicting node data for 3D meshes—0
Efficient Heterogeneous Graph Learning via Random ProjectionCode1
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing ProblemsCode0
SplitGNN: Spectral Graph Neural Network for Fraud Detection against HeterophilyCode1
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food FlowsCode0
Towards Enhancing Relational Rules for Knowledge Graph Link PredictionCode0
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning modelCode1
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment—0
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction—0
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
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Benchmark Results

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