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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
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
AAAI 2024
Residual Hyperbolic Graph Convolution Networks
AAAI 2024
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
AAAI 2024
Union Subgraph Neural Networks
AAAI 2024
Self-Training Based Few-Shot Node Classification by Knowledge Distillation
AAAI 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
AAAI 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
AAAI 2024
Hyperbolic Graph Diffusion Model
AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
AAAI 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
AAAI 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Comparing Edge-based and Node-based Methods on a Citation Prediction Task
EMNLP 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
AAAI 2024
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
AAAI 2024
Federated Graph Learning under Domain Shift with Generalizable Prototypes
AAAI 2024
Attribute-Missing Graph Clustering Network
AAAI 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
AAAI 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
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