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Graph Neural Network

Papers

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Showing 2701–2750 of 3598 papers

TitleStatusHype
Exploring Graph Neural Networks for Indian Legal Judgment Prediction—0
Exploring structure diversity in atomic resolution microscopy with graph neural networks—0
Extractive Text Summarization with Latent Topics using Heterogeneous Graph Neural Network—0
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry—0
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering—0
Factor Graph Neural Networks—0
FAIR AI Models in High Energy Physics—0
FairGAT: Fairness-aware Graph Attention Networks—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery—0
FairNorm: Fair and Fast Graph Neural Network Training—0
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment—0
Fake News Quick Detection on Dynamic Heterogeneous Information Networks—0
Fast and Accurate Antibody Sequence Design via Structure Retrieval—0
Fast and Deep Graph Neural Networks—0
Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks—0
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs—0
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
Fast instance-specific algorithm configuration with graph neural network—0
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks—0
Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning—0
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network—0
Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression—0
Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks—0
Fast Training of Sparse Graph Neural Networks on Dense Hardware—0
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks—0
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network—0
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems—0
Federated Dynamic GNN with Secure Aggregation—0
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks—0
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation—0
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks—0
Federated Social Recommendation with Graph Neural Network—0
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation—0
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control—0
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Few-Shot Graph Out-of-Distribution Detection with LLMs—0
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs—0
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs—0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network—0
Tracklets Predicting Based Adaptive Graph Tracking—0
E(3)-equivariant models cannot learn chirality: Field-based molecular generation—0
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models—0
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning—0
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization—0
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach—0
FINETUNA: Fine-tuning Accelerated Molecular Simulations—0
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network—0
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Benchmark Results

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