graph diffusion

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals NeurIPS 2023 TIDE: Time Derivative Diffusion for Deep Learning on Graphs ICML 2023 Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees ICML 2023 GRAND++: Graph Neural Diffusion with A Source Term ICLR 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NeurIPS 2022 Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022 Adaptive Diffusion in Graph Neural Networks NeurIPS 2021 Dissecting the Diffusion Process in Linear Graph Convolutional Networks NeurIPS 2021 CGD: Multi-View Clustering via Cross-View Graph Diffusion AAAI 2020 Data Representation and Learning With Graph Diffusion-Embedding Networks CVPR 2019 Diffusion Improves Graph Learning NeurIPS 2019 Diffusion Maps for Textual Network Embedding NeurIPS 2018 Metadata-conscious anonymous messaging ICML 2016 Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering ACML 2015 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012