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← Core Methods
Machine Learning
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Core Methods
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Graph Neural Networks
1127 directly classified papers
Papers per year
2006: 2
2008: 1
2009: 2
2010: 3
2011: 2
2012: 6
2013: 7
2014: 5
2015: 2
2016: 7
2017: 8
2018: 16
2019: 62
2020: 133
2021: 139
2022: 175
2023: 196
2024: 192
2025: 168
2026: 1
Papers
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction
AAAI 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
Hyperbolic Graph Diffusion Model
AAAI 2024
Graph Neural Networks with Soft Association between Topology and Attribute
AAAI 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
AAAI 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting
WACV 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
AAAI 2024
G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
AAAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
AAAI 2024
Embedded Feature Selection on Graph-Based Multi-View Clustering
AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
AAAI 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
AAAI 2024
Pygmtools: A Python Graph Matching Toolkit
JMLR 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
AAAI 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding
AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Feature Transportation Improves Graph Neural Networks
AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
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