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
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Papers
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
ICML 2024
Tensor-view Topological Graph Neural Network
AISTATS 2024
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
CVPR 2024
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
AAAI 2024
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
CVPR 2024
The Expressive Power of Path-Based Graph Neural Networks
ICML 2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
NeurIPS 2024
The Intelligible and Effective Graph Neural Additive Network
NeurIPS 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NeurIPS 2024
The Merit of River Network Topology for Neural Flood Forecasting
ICML 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
NeurIPS 2024
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
AAAI 2024
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task
ACL 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition
NeurIPS 2024
TopoGCL: Topological Graph Contrastive Learning
AAAI 2024
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)
AAAI 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
JMLR 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
JMLR 2024
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
IJCAI 2024
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
ACL 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
ICLR 2024
Towards Dynamic Message Passing on Graphs
NeurIPS 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024