Graph Neural Networks
5,491 papers
Papers per year
3
1
1
3
7
4
3
2
13
23
66
348
550
686
703
817
962
904
395
'10
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'25
Papers
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
ICLR 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
ICML 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
ICLR 2024
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
ICLR 2024
Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer
NAACL 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs
AISTATS 2024
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
AAAI 2024
Boosting Graph Anomaly Detection with Adaptive Message Passing
ICLR 2024
Boosting Graph Pooling with Persistent Homology
NeurIPS 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NeurIPS 2024
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
ICLR 2024
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
ICML 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
ICLR 2024
Bridging Local Details and Global Context in Text-Attributed Graphs
EMNLP 2024
Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems
COLING 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting
COLING 2024
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
ICLR 2024
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
ACL 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NeurIPS 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NeurIPS 2024
CARTE: Pretraining and Transfer for Tabular Learning
ICML 2024
Category-Level Multi-Part Multi-Joint 3D Shape Assembly
CVPR 2024
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
ICLR 2024
Cell Graph Transformer for Nuclei Classification
AAAI 2024