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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
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
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
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
AAAI 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
AAAI 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
Federated Graph Learning under Domain Shift with Generalizable Prototypes
AAAI 2024
Attribute-Missing Graph Clustering Network
AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
NIPS 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
NIPS 2024
A Unified Joint Approach with Topological Context Learning and Rule Augmentation for Knowledge Graph Completion
ACL 2024
An Experimental Analysis on Evaluating Patent Citations
EMNLP 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
AAAI 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
A Graph Dynamics Prior for Relational Inference
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
GUIDE: Creating Semantic Domain Dictionaries for Low-Resource Languages
EACL 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
AAAI 2024
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