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Graph Neural Networks

4,495 papers

Papers per year

Papers

Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention ACML 2023
Attributed Graph Subspace Clustering with Graph-Boosting ACML 2023
K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs ACML 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning ACML 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models ACML 2023
Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature ACML 2023
Graph Structure Learning via Lottery Hypothesis at Scale ACML 2023
Graph Contrastive Learning with Group Whitening ACML 2023
Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks ACML 2023
Implications of sparsity and high triangle density for graph representation learning AISTATS 2023
Implicit Graphon Neural Representation AISTATS 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations AISTATS 2023
Positional Encoder Graph Neural Networks for Geographic Data AISTATS 2023
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies AISTATS 2023
Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 2023
Temporal Graph Neural Networks for Irregular Data AISTATS 2023
Distill n’ Explain: explaining graph neural networks using simple surrogates AISTATS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023
Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023