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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
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
AISTATS 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
AISTATS 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
AAAI 2024
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
AAAI 2024
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation
WACV 2024
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
ICLR 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
AAAI 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 2024
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
AAAI 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
AAAI 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
Learning to Reweight for Generalizable Graph Neural Network
AAAI 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
AAAI 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
AAAI 2024
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
AAAI 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
AAAI 2024
A Generalized Neural Diffusion Framework on Graphs
AAAI 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
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