Saved in:
| Main Authors: | Aliakbarisani, Roya, Jankowski, Robert, Serrano, M. Ángeles, Boguñá, Marián |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.02772 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mapping bipartite networks into multidimensional hyperbolic spaces
by: Jankowski, Robert, et al.
Published: (2025)
by: Jankowski, Robert, et al.
Published: (2025)
Clustering Does Not Always Imply Latent Geometry
by: Aliakbarisani, Roya, et al.
Published: (2025)
by: Aliakbarisani, Roya, et al.
Published: (2025)
Extracting the geometric backbone of bipartite networks
by: Ramírez, Lucía S., et al.
Published: (2025)
by: Ramírez, Lucía S., et al.
Published: (2025)
Task complexity shapes internal representations and robustness in neural networks
by: Jankowski, Robert, et al.
Published: (2025)
by: Jankowski, Robert, et al.
Published: (2025)
Feature-aware ultra-low dimensional reduction of real networks
by: Jankowski, Robert, et al.
Published: (2024)
by: Jankowski, Robert, et al.
Published: (2024)
Statistical mechanics of directed networks
by: Boguñá, Marián, et al.
Published: (2024)
by: Boguñá, Marián, et al.
Published: (2024)
Trade-offs between structural richness and communication efficiency in music network representations
by: Rosselló, Lluc Bono, et al.
Published: (2025)
by: Rosselló, Lluc Bono, et al.
Published: (2025)
Renormalization of networks with weak geometric coupling
by: van der Kolk, Jasper, et al.
Published: (2024)
by: van der Kolk, Jasper, et al.
Published: (2024)
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
by: Yue, Juwei, et al.
Published: (2025)
by: Yue, Juwei, et al.
Published: (2025)
Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis
by: Marcús, Aina Ferrà, et al.
Published: (2025)
by: Marcús, Aina Ferrà, et al.
Published: (2025)
Testing Individual Fairness in Graph Neural Networks
by: Nasiri, Roya
Published: (2025)
by: Nasiri, Roya
Published: (2025)
Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL
by: Jankowski, Igor
Published: (2026)
by: Jankowski, Igor
Published: (2026)
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
by: Loveland, Donald, et al.
Published: (2024)
by: Loveland, Donald, et al.
Published: (2024)
Multiplexity amplifies geometry in networks
by: van der Kolk, Jasper, et al.
Published: (2025)
by: van der Kolk, Jasper, et al.
Published: (2025)
$P^2$GNN: Two Prototype Sets to boost GNN Performance
by: Jain, Arihant, et al.
Published: (2026)
by: Jain, Arihant, et al.
Published: (2026)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)
by: Suri, Dhruv, et al.
Published: (2025)
Subsampling Graphs with GNN Performance Guarantees
by: Jain, Mika Sarkin, et al.
Published: (2025)
by: Jain, Mika Sarkin, et al.
Published: (2025)
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
by: Mancini, K., et al.
Published: (2024)
by: Mancini, K., et al.
Published: (2024)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
Exploring the Relationship Between Feature Attribution Methods and Model Performance
by: Silva, Priscylla, et al.
Published: (2024)
by: Silva, Priscylla, et al.
Published: (2024)
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
by: Wang, Fuyi, et al.
Published: (2025)
by: Wang, Fuyi, et al.
Published: (2025)
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2024)
by: Das, Siddhartha Shankar, et al.
Published: (2024)
Robust GNN Watermarking via Implicit Perception of Topological Invariants
by: Li, Jipeng, et al.
Published: (2025)
by: Li, Jipeng, et al.
Published: (2025)
Measuring spatial distances in causal sets via causal overlaps
by: Boguna, Marian, et al.
Published: (2024)
by: Boguna, Marian, et al.
Published: (2024)
Local d'Alembertian for causal sets
by: Boguñá, Marián, et al.
Published: (2025)
by: Boguñá, Marián, et al.
Published: (2025)
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
by: Bicciato, Alessandro, et al.
Published: (2024)
by: Bicciato, Alessandro, et al.
Published: (2024)
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL
by: Jankowski, Igor
Published: (2026)
by: Jankowski, Igor
Published: (2026)
Unveiling the Power of Sparse Neural Networks for Feature Selection
by: Atashgahi, Zahra, et al.
Published: (2024)
by: Atashgahi, Zahra, et al.
Published: (2024)
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
by: Saifuddin, Khaled Mohammed, et al.
Published: (2023)
by: Saifuddin, Khaled Mohammed, et al.
Published: (2023)
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
by: Song, Zeyu, et al.
Published: (2023)
by: Song, Zeyu, et al.
Published: (2023)
Topological Feature Compression for Molecular Graph Neural Networks
by: Khorana, Rahul
Published: (2025)
by: Khorana, Rahul
Published: (2025)
ADMP-GNN: Adaptive Depth Message Passing GNN
by: Abbahaddou, Yassine, et al.
Published: (2025)
by: Abbahaddou, Yassine, et al.
Published: (2025)
Benchmarking GNN Models on Molecular Regression Tasks with CKA-Based Representation Analysis
by: Rajan, et al.
Published: (2026)
by: Rajan, et al.
Published: (2026)
SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2025)
by: Das, Siddhartha Shankar, et al.
Published: (2025)
Improving the Stability of GNN Force Field Models by Reducing Feature Correlation
by: Zeng, Yujie, et al.
Published: (2025)
by: Zeng, Yujie, et al.
Published: (2025)
Directed Link Prediction using GNN with Local and Global Feature Fusion
by: Zhang, Yuyang, et al.
Published: (2025)
by: Zhang, Yuyang, et al.
Published: (2025)
GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics
by: Kamp, Sebestyén, et al.
Published: (2025)
by: Kamp, Sebestyén, et al.
Published: (2025)
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction
by: Yang, Jielong, et al.
Published: (2024)
by: Yang, Jielong, et al.
Published: (2024)
Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations
by: Ahmed, Mohammed Zain Ali
Published: (2026)
by: Ahmed, Mohammed Zain Ali
Published: (2026)
Similar Items
-
Mapping bipartite networks into multidimensional hyperbolic spaces
by: Jankowski, Robert, et al.
Published: (2025) -
Clustering Does Not Always Imply Latent Geometry
by: Aliakbarisani, Roya, et al.
Published: (2025) -
Extracting the geometric backbone of bipartite networks
by: Ramírez, Lucía S., et al.
Published: (2025) -
Task complexity shapes internal representations and robustness in neural networks
by: Jankowski, Robert, et al.
Published: (2025) -
Feature-aware ultra-low dimensional reduction of real networks
by: Jankowski, Robert, et al.
Published: (2024)