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Methodology
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Deep Learning
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Graph Neural Networks
4495 directly classified papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
AAAI 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction
AAAI 2024
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
AAAI 2024
Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers
AAAI 2024
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
AAAI 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
AAAI 2024
Disentangled Partial Label Learning
AAAI 2024
TREE-G: Decision Trees Contesting Graph Neural Networks
AAAI 2024
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
AAAI 2024
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
AAAI 2024
Continuous-Time Graph Representation with Sequential Survival Process
AAAI 2024
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
AAAI 2024
TopoGCL: Topological Graph Contrastive Learning
AAAI 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
AAAI 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
AAAI 2024
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
AAAI 2024
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
AAAI 2024
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
AAAI 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
AAAI 2024
Provably Powerful Graph Neural Networks for Directed Multigraphs
AAAI 2024
Feature Transportation Improves Graph Neural Networks
AAAI 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
AAAI 2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
AAAI 2024
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