A Comprehensive Survey on Graph Neural Networks
2019/01/03 by Zonghan Wu, Shirui Pan, Fengwen Chen +3 · 1 voice · 298 citations
Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Healthcare
paper · pdf · doi:10.1109/tnnls.2020.2978386
openalex created_date 2019/01/11 · openalex publication_date 2020/03/24 · openalex updated_date 2026/07/31
Abstract
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are typically represented in the Euclidean space. However, there is an increasing number of applications, where data are generated from non-Euclidean domains and are represented as graphs with complex relationships and interdependency between objects. The complexity of graph data has imposed significant challenges on the existing machine learning algorithms. Recently, many studies on extending deep learning approaches for graph data have emerged. In this article, we provide a comprehensive overview of graph neural networks (GNNs) in data mining and machine learning fields. We propose a new taxonomy to divide the state-of-the-art GNNs into four categories, namely, recurrent GNNs, convolutional GNNs, graph autoencoders, and spatial-temporal GNNs. We further discuss the applications of GNNs across various domains and summarize the open-source codes, benchmark data sets, and model evaluation of GNNs. Finally, we propose potential research directions in this rapidly growing field.
Citations
Cited by
- Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26)
- Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes
- Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
- Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
- Octopus v4: Graph of language models
- HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection
- Approximating SPR Distance Between Phylogenetic Trees with Graph Neural Networks
- Learning Structural Manipulability in Gate-Level Netlists Using Graph Neural Networks
- UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure
- Robust GNN Watermarking via Implicit Perception of Topological Invariants
- Vulnerability Detection via Multiple-Graph-Based Code Representation
- Adaptive Fusion Graph Network for 3D Strain Field Prediction in Solid Rocket Motor Grains
- Identifying obfuscated code through graph-based semantic analysis of binary code
- Thyroid endocrine disruption and hepatotoxicity induced by bisphenol AF: Integrated zebrafish embryotoxicity test and deep learning
- GNN-based Multi-Agent Control of Traffic Shockwaves in Sparse Vehicular Ad-hoc Networks
- A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices
- Robust Interpretation of Historical Documents in Knowledge Graphs Through Query Inference and Execution
- Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems
- Spatial Prediction of Soil Microplastics and Organic Matter Using Graph Attention Networks
- Graph Neural Networks for Predicting Solvability of Finite Groups
- A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction
- TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
- Semantic Refinement with LLMs for Graph Representations
- A Novel Graph-Sequence Learning Model for Inductive Text Classification
- MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis
- AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
- Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
- FairExpand: Individual Fairness on Graphs with Partial Similarity Information
- Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
- Hypernetworks That Evolve Themselves
- Graph Neural Networks for Source Detection: A Review and Benchmark Study
- ATLAS: Adaptive Topology-based Learning at Scale for Homophilic and Heterophilic Graphs
- A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
- A Graph-Based Forensic Framework for Inferring Hardware Noise of Cloud Quantum Backend
- GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes
- Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
- Personalized Pricing in Social Networks with Individual and Group Fairness Considerations
- A Survey on Hypergraph Representation Learning
- Attacking and Securing Community Detection: A Game-Theoretic Framework
- Representation of the structure of graphs by sequences of instructions
- A self-supervised detection method for mixed urban functions based on trajectory temporal image
- Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design
- Mitigating Bias in Graph Hyperdimensional Computing
- Edged Weisfeiler-Lehman Algorithm
- Graph Convolutional Long Short-Term Memory Attention Network for Post-Stroke Compensatory Movement Detection Based on Skeleton Data
- Learning Thermoelectric Transport from Crystal Structures via Multiscale Graph Neural Network
- Learning-based Link Prediction Methods Integrating Network Topological Features and Embedding Representations
- The Graph-Embedded Hazard Model (GEHM): Stochastic Network Survival Dynamics on Economic Graphs
- Learning Invariant Graph Representations Through Redundant Information
- Task-Specific Trust Evaluation for Multi-Hop Collaborator Selection via GNN-Aided Distributed Agentic AI
- Advanced Unsupervised Learning: A Comprehensive Overview of Multi-View Clustering Techniques
- Vision and Causal Learning Based Channel Estimation for THz Communications
- RGE-GCN: Recursive Gene Elimination with Graph Convolutional Networks for RNA-seq based Early Cancer Detection
- Large Language Models as Generalist Policies for Network Optimization
- FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
- Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets
- QGShap: Quantum Acceleration for Faithful GNN Explanations
- City-Conditioned Memory for Multi-City Traffic and Mobility Forecasting
- Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
- ARES: Anomaly Recognition Model For Edge Streams
- Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
- ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
- Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
- Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
- Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
- R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
- QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning
- CubeletWorld: A New Abstraction for Scalable 3D Modeling
- Gauge-Equivariant Graph Networks via Self-Interference Cancellation
- Graph Neural Networks for Vehicular Social Networks: Trends, Challenges, and Opportunities
- Meta-SimGNN: Adaptive and Robust WiFi Localization Across Dynamic Configurations and Diverse Scenarios
- Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
- A survey of heterogeneous graph neural networks for cybersecurity anomaly detection
- GRAPHTEXTACK: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
- Graph Neural Networks, Deep Reinforcement Learning and Probabilistic Topic Modeling for Strategic Multiagent Settings
- GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
- Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery
- TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks
- An ultrafast plenoptic-camera system for high-resolution 3D particle tracking in unsegmented scintillators
- Dual-Kernel Graph Community Contrastive Learning
- Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
- Generalizable Insights for Graph Transformers in Theory and Practice
- Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
- Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
- Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
- Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
- Enhancing Robustness of Graph Neural Networks through p-Laplacian
- Denoised Recommendation Model with Collaborative Signal Decoupling
- DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
- Predicting Microbial Interactions Using Graph Neural Networks
- Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
- Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis
- Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
- MDAS-GNN: Multi-Dimensional Spatiotemporal GNN with Spatial Diffusion for Urban Traffic Risk Forecasting
- A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
- Topology-Aware Active Learning on Graphs
- Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
- Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Information
- Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification
- A Serial MRI–based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma
- Network feature-based phenotyping of leaf venation robustly reconstructs the latent space
- Fuzzy Logic in Surveillance Big Video Data Analysis
- A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
- An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay
- Modern <scp>machine‐learning</scp> for binding affinity estimation of <scp>protein–ligand</scp> complexes: Progress, opportunities, and challenges
- Biologically inspired neural network layer with homeostatic regulation and adaptive repair mechanisms
- GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings
- Douglas Weighted Dirichlet Spaces: Analytic and Probabilistic Aspects
- Editorial for “Associating Knee Osteoarthritis Progression with Temporal‐Regional Graph Convolutional Network Analysis on <scp>MR</scp> Images”
- Path reliability-based graph attention networks
- Learning Fair Graph Representations with Multi-view Information Bottleneck
- Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network
- SHA-256 Infused Embedding-Driven Generative Modeling of High-Energy Molecules in Low-Data Regimes
- MIC-BEV: Multi-Infrastructure Camera Bird's-Eye-View Transformer with Relation-Aware Fusion for 3D Object Detection
- HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
- Graph-Attentive MAPPO for Dynamic Retail Pricing
- AI in soil moisture remote sensing
- Image Categorization and Search via a GAT Autoencoder and Representative Models
- Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
- A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
- Hazard-Responsive Digital Twin for Climate-Driven Urban Resilience and Equity
- Sound Logical Explanations for Mean Aggregation Graph Neural Networks
- Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems
- Dynamic Graph Neural Network for Data-Driven Physiologically Based Pharmacokinetic Modeling
- Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training
- Pruning and Quantization Impact on Graph Neural Networks
- A Hybrid GNN-LSE Method for Fast, Robust, and Physically-Consistent AC Power Flow
- Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
- Understanding Network Behaviors through Natural Language Question-Answering
- Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
- MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction
- Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP
- GRACE: Graph Neural Networks for Locus-of-Care Prediction under Extreme Class Imbalance
- Image augmentation with invertible networks in interactive satellite image change detection
- Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
- Mamba4Net: Distilled Hybrid Mamba Large Language Models For Networking
- Graph4MM: Weaving Multimodal Learning with Structural Information
- Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
- Message Passing on the Edge: Towards Scalable and Expressive GNNs
- AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
- A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning
- Causal Inspired Multi Modal Recommendation
- Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
- Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
- A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
- An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
- Event-Aware Prompt Learning for Dynamic Graphs
- Learning the Structure of Connection Graphs
- Representing Data in Robotic Tactile Perception -- A Review
- A Graph-Attentive LSTM Model for Malicious URL Detection
- CAPSim: A Fast CPU Performance Simulator Using Attention-based Predictor
- On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
- Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
- Open Biomedical Network Benchmark A Python Toolkit for Benchmarking Datasets with Biomedical Networks
- Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
- Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
- TinyGraphEstimator: Adapting Lightweight Language Models for Graph Structure Inference
- Estimating Fair Graphs from Graph-Stationary Data
- HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
- Label-frugal satellite image change detection with generative virtual exemplar learning
- Hierarchical attention graph learning with LLM enhancement for molecular solubility prediction
- A survey on neural-symbolic learning systems
- Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs
- When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
- Efficient Learning-based Graph Simulation for Temporal Graphs
- QGraphLIME - Explaining Quantum Graph Neural Networks
- Unsupervised Active Learning via Natural Feature Progressive Framework
- Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
- Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
- Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
- A Hybrid GNN-IZR Framework for Fast and Empirically Robust AC Power Flow Analysis in Radial Distribution Systems
- VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
- Comparative analysis on artificial intelligence methods for DTI and DTBA prediction in drug repurposing
- Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
- Adaptive Node Feature Selection For Graph Neural Networks
- GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
- Neighbor-aware informal settlement mapping with graph convolutional networks
- Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
- Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
- Single-Core Superscalar Optimization of Clifford Neural Layers
- <scp>AI</scp> Methods for Antimicrobial Peptides: Progress and Challenges
- An adaptive semantic retrieval framework for digital libraries integrating graph neural networks, ontology, and user behavior
- G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
- Pure Node Selection for Imbalanced Graph Node Classification
- From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
- Rotational equivariant graph neural networks via local eigenbasis transformations
- Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
- Neighborhood Sampling Does Not Learn the Same Graph Neural Network
- SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
- SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
- Enhancing Molecular Property Prediction with Knowledge from Large Language Models
- Beyond adjacency: Graph encoding with reachability and shortest paths
- Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
- Analog Courant Numbers and their Role in Analog Computing
- Expediting field-effect transistor chemical sensor design with neuromorphic spiking graph neural networks
- Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
- Deep learning in-depth analysis of crystal graph convolutional neural networks: A new era in materials discovery and its applications
- Improving genome-scale metabolic models of incomplete genomes with deep learning
- Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
- Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
- Periodic Graph-Enhanced Multivariate Time Series Anomaly Detector
- A Graph-Neural-Network-Entropy model of vital node identification on network attack and propagation
- Quantum Graph Attention Network: A Novel Quantum Multi-Head Attention Mechanism for Graph Learning
- SeaPearl: A Constraint Programming Solver guided by Reinforcement\n Learning
- Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
- TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
- Compose by Focus: Scene Graph-based Atomic Skills
- Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
- Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
- Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control
- An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
- JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks
- Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
- A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
- Multimodal Hate Detection Using Dual-Stream Graph Neural Networks
- EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
- SpaPool: Soft Partition Assignment Pooling for_Graph Neural Networks
- Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers
- Enhancing Electromagnetic Calorimeter Signal Reconstruction with Machine Learning-Based Noise Discrimination
- EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher–student mechanisms for graph node classification
- M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
- Why does your graph neural network fail on some graphs? Insights from exact generalisation error
- Database Views as Explanations for Relational Deep Learning
- Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
- Hybrid AWD-GCN-BiGRU model for edge-optimized dissolved oxygen prediction in recirculating aquaculture systems
- Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
- Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities
- Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version)
- QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning
- A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
- Explicit and Implicit Data Augmentation for Social Event Detection
- Joint Modeling of Entities and Discourse Relations for Coherence Assessment
- Temporal social network modeling of mobile connectivity data with graph neural networks
- Fast and Accurate RFIC Performance Prediction via Pin Level Graph Neural Networks and Probabilistic Flow
- Second-Order Tensorial Partial Differential Equations on Graphs
- Power Grid Control with Graph-Based Distributed Reinforcement Learning
- Ultra Fast Warm Start Solution for Graph Recommendations
- Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
- Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
- Curriculum Guided Personalized Subgraph Federated Learning
- PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
- Automated Bug Triaging using Instruction-Tuned Large Language Models
- Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
- Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
- Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
- Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions
- Efficient Knowledge Graph Unlearning with Zeroth-order Information
- SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
- DegDiT: Controllable Audio Generation with Dynamic Event Graph Guided Diffusion Transformer
- Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics
- Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
- AI Models for Depressive Disorder Detection and Diagnosis: A Review
- Hierarchical Graph Feature Enhancement with Adaptive Frequency Modulation for Visual Recognition
- From Heuristics to Data: Quantifying Site Planning Layout Indicators with Deep Learning and Multi-Modal Data
- Graph Neural Diffusion via Generalized Opinion Dynamics
- Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
- Graph Learning via Logic-Based Weisfeiler-Leman Variants and Tabularization
- FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
- CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios
- Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
- Solving Approximation Tasks with Greedy Deep Kernel Methods
- GRAVITY: A Controversial Graph Representation Learning for Vertex Classification
- Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
- BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
- Pinching-Antenna Systems (PASS): A Tutorial
- MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification
- Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
- Learning Geometric-Aware Quadrature Rules for Functional Minimization
- Graph-based Event Log Repair
- Functional Connectivity Graph Neural Networks
- Comparing Normalization Methods for Portfolio Optimization with Reinforcement Learning
- GaitAdapt: Continual Learning for Evolving Gait Recognition
- GEDAN: Learning the Edit Costs for Graph Edit Distance
- Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network
- Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs
- Federated Graph Unlearning
- Forecasting West Nile virus with deep graph encoders
- RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation
- Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
- Invariant Graph Transformer for Out-of-Distribution Generalization
- MPFSR-Enhanced GNNs: Spectral Graph Neural Networks Enhancement Through Learnable Multiple-Parameter Graph Fractional Fourier Transforms
- INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
- Hybrid Hypergraph Networks for Multimodal Sequence Data Classification
- Hierarchical Graph Neural Network for Compressed Speech Steganalysis
- Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
- BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
- Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
- Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks
- NAICS-Aware Graph Neural Networks for Large-Scale POI Co-visitation Prediction: A Multi-Modal Dataset and Methodology
- PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
- Geometric Multi-color Message Passing Graph Neural Networks for Blood-brain Barrier Permeability Prediction
- Financial Regulation and AI: A Faustian Bargain?
- Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors
- GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation
- Deep Learning for Blood-Brain Barrier Permeability Prediction
- Logical Characterizations of GNNs with Mean Aggregation
- ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks
- Exploring multi-dimensional interests for session-based recommendation
Discussions
Related