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Methodology
← 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
Graph Structure Learning on User Mobility Data for Social Relationship Inference
AAAI 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data
EMNLP 2023
On Generalized Degree Fairness in Graph Neural Networks
AAAI 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
EMNLP 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
AAAI 2023
Social Relation Reasoning Based on Triangular Constraints
AAAI 2023
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
AAAI 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI 2023
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
AAAI 2023
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
AAAI 2023
Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees
AAAI 2023
Graph Ordering Attention Networks
AAAI 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
AAAI 2023
Topological Pooling on Graphs
AAAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
AAAI 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
AAAI 2023
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
AAAI 2023
Random Walk Conformer: Learning Graph Representation from Long and Short Range
AAAI 2023
A Unified Framework for Optimization-Based Graph Coarsening
JMLR 2023
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
AAAI 2023
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