Saved in:
| Main Authors: | Zheng, Yanping, Yi, Lu, Wei, Zhewei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.18211 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A graph neural network based on feature network for identifying influential nodes
by: Hu, Yanmei, et al.
Published: (2025)
by: Hu, Yanmei, et al.
Published: (2025)
Temporal social network modeling of mobile connectivity data with graph neural networks
by: Jaskari, Joel, et al.
Published: (2025)
by: Jaskari, Joel, et al.
Published: (2025)
Leveraging graph neural networks and mobility data for COVID-19 forecasting
by: Duarte, Fernando H. O., et al.
Published: (2025)
by: Duarte, Fernando H. O., et al.
Published: (2025)
Attention is all you need for boosting graph convolutional neural network
by: Wu, Yinwei
Published: (2024)
by: Wu, Yinwei
Published: (2024)
Learning production functions for supply chains with graph neural networks
by: Chang, Serina, et al.
Published: (2024)
by: Chang, Serina, et al.
Published: (2024)
Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction
by: Peng, Jie, et al.
Published: (2025)
by: Peng, Jie, et al.
Published: (2025)
Stretched and measured neural predictions of complex network dynamics
by: Vasiliauskaite, Vaiva, et al.
Published: (2023)
by: Vasiliauskaite, Vaiva, et al.
Published: (2023)
Community detection robustness of graph neural networks
by: Goel, Jaidev, et al.
Published: (2025)
by: Goel, Jaidev, et al.
Published: (2025)
Predicting the structure of dynamic graphs
by: Kandanaarachchi, Sevvandi, et al.
Published: (2024)
by: Kandanaarachchi, Sevvandi, et al.
Published: (2024)
Deep learning for dynamic graphs: models and benchmarks
by: Gravina, Alessio, et al.
Published: (2023)
by: Gravina, Alessio, et al.
Published: (2023)
Attention-based graph neural networks: a survey
by: Sun, Chengcheng, et al.
Published: (2026)
by: Sun, Chengcheng, et al.
Published: (2026)
A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
by: Hong, Ye, et al.
Published: (2023)
by: Hong, Ye, et al.
Published: (2023)
When do neural ordinary differential equations generalize on complex networks?
by: Laber, Moritz, et al.
Published: (2026)
by: Laber, Moritz, et al.
Published: (2026)
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Learning dynamic representations of the functional connectome in neurobiological networks
by: Dyballa, Luciano, et al.
Published: (2024)
by: Dyballa, Luciano, et al.
Published: (2024)
Sifting out communities in large sparse networks
by: Climer, Sharlee, et al.
Published: (2024)
by: Climer, Sharlee, et al.
Published: (2024)
Haar-Laplacian for directed graphs
by: Badea, Theodor-Adrian, et al.
Published: (2024)
by: Badea, Theodor-Adrian, et al.
Published: (2024)
The G-invariant graph Laplacian
by: Rosen, Eitan, et al.
Published: (2023)
by: Rosen, Eitan, et al.
Published: (2023)
Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities
by: Khulbe, Devashish, et al.
Published: (2025)
by: Khulbe, Devashish, et al.
Published: (2025)
A family of graph GOSPA metrics for graphs with different sizes
by: Gu, Jinhao, et al.
Published: (2025)
by: Gu, Jinhao, et al.
Published: (2025)
GraphFM: A generalist graph transformer that learns transferable representations across diverse domains
by: Lachi, Divyansha, et al.
Published: (2024)
by: Lachi, Divyansha, et al.
Published: (2024)
Discriminative community detection for multiplex networks
by: Ortiz-Bouza, Meiby, et al.
Published: (2024)
by: Ortiz-Bouza, Meiby, et al.
Published: (2024)
Modularity aided consistent attributed graph clustering via coarsening
by: Bhatia, Samarth, et al.
Published: (2024)
by: Bhatia, Samarth, et al.
Published: (2024)
Representation learning in multiplex graphs: Where and how to fuse information?
by: Bielak, Piotr, et al.
Published: (2024)
by: Bielak, Piotr, et al.
Published: (2024)
A multi-theoretical kernel-based approach to social network-based recommendation
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
Improving the interpretability of GNN predictions through conformal-based graph sparsification
by: Sanchez-Martin, Pablo, et al.
Published: (2024)
by: Sanchez-Martin, Pablo, et al.
Published: (2024)
Opinion de-polarization in social networks with GNNs
by: Mylonas, Konstantinos, et al.
Published: (2024)
by: Mylonas, Konstantinos, et al.
Published: (2024)
Estimating mixed memberships in multi-layer networks
by: Qing, Huan
Published: (2024)
by: Qing, Huan
Published: (2024)
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2025)
by: Xiao, Chunjing, et al.
Published: (2025)
Beyond symmetrization: effective adjacency matrices and renormalization for (un)singed directed graphs
by: de Resende, Bruno Messias Farias
Published: (2024)
by: de Resende, Bruno Messias Farias
Published: (2024)
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
by: Vandervorst, Félix, et al.
Published: (2025)
by: Vandervorst, Félix, et al.
Published: (2025)
Community detection by spectral methods in multi-layer networks
by: Qing, Huan
Published: (2024)
by: Qing, Huan
Published: (2024)
Boundary-enhanced time series data imputation with long-term dependency diffusion models
by: Xiao, Chunjing, et al.
Published: (2025)
by: Xiao, Chunjing, et al.
Published: (2025)
Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks
by: Nagai, James S., et al.
Published: (2023)
by: Nagai, James S., et al.
Published: (2023)
Information propagation dynamics in Deep Graph Networks
by: Gravina, Alessio
Published: (2024)
by: Gravina, Alessio
Published: (2024)
Machine learning of network inference enhancement from noisy measurements
by: Wu, Kai, et al.
Published: (2023)
by: Wu, Kai, et al.
Published: (2023)
Compute the edge p-Laplacian centrality for air traffic network
by: Tran, Loc Hoang, et al.
Published: (2025)
by: Tran, Loc Hoang, et al.
Published: (2025)
Embedding networks with the random walk first return time distribution
by: Thapar, Vedanta, et al.
Published: (2025)
by: Thapar, Vedanta, et al.
Published: (2025)
Learning of networked spreading models from noisy and incomplete data
by: Wilinski, Mateusz, et al.
Published: (2023)
by: Wilinski, Mateusz, et al.
Published: (2023)
Towards agent-based-model informed neural networks
by: Antulov-Fantulin, Nino
Published: (2025)
by: Antulov-Fantulin, Nino
Published: (2025)
Similar Items
-
A graph neural network based on feature network for identifying influential nodes
by: Hu, Yanmei, et al.
Published: (2025) -
Temporal social network modeling of mobile connectivity data with graph neural networks
by: Jaskari, Joel, et al.
Published: (2025) -
Leveraging graph neural networks and mobility data for COVID-19 forecasting
by: Duarte, Fernando H. O., et al.
Published: (2025) -
Attention is all you need for boosting graph convolutional neural network
by: Wu, Yinwei
Published: (2024) -
Learning production functions for supply chains with graph neural networks
by: Chang, Serina, et al.
Published: (2024)