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Methodology
← Architectures
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
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
AAAI 2024
DOGE-Train: Discrete Optimization on GPU with End-to-End Training
AAAI 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
Stronger and Transferable Node Injection Attacks
AAAI 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
AAAI 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks
AAAI 2024
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
AAAI 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems
AAAI 2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
AAAI 2024
Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War
AAAI 2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
AAAI 2024
Deep Learning on Graphs: A Data-Centric Exploration
AAAI 2024
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling
AAAI 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
AAAI 2024
Simple Orthogonal Graph Representation Learning (Student Abstract)
AAAI 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
AAAI 2024
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)
AAAI 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
AAAI 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
AAAI 2024
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
AAAI 2023
Learning to Count Isomorphisms with Graph Neural Networks
AAAI 2023
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