SOTAVerified

Graph Reconstruction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–88 of 88 papers

TitleStatusHype
Graph Neural Network, ChebNet, Graph Convolutional Network, and Graph Autoencoder: Tutorial and Survey—0
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise—0
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank—0
Information Theoretic Optimal Learning of Gaussian Graphical Models—0
Learning Node Representations from Noisy Graph Structures—0
Marginalized Latent Semantic Encoder for Zero-Shot Learning—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
Mixed-Curvature Transformers for Graph Representation Learning papersreview—0
Reconstruction for Powerful Graph Representations—0
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels—0
Regularized Primitive Graph Learning for Unified Vector Mapping—0
RESTORE: Graph Embedding Assessment Through Reconstruction—0
Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods—0
Road Network Representation Learning: A Dual Graph based Approach—0
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation—0
Sign Rank Limitations for Inner Product Graph Decoders—0
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks—0
Temporal Generalization Estimation in Evolving Graphs—0
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach—0
Unveiling and Steering Connectome Organization with Interpretable Latent Variables—0
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability—0
Optimized Vectorizing of Building Structures with Switch: High-Efficiency Convolutional Channel-Switch Hybridization Strategy—0
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models—0
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks—0
Privacy-Preserving Approach PBCN in Social Network With Differential Privacy—0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
Normed Spaces for Graph EmbeddingCode0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource LanguageCode0
An open unified deep graph learning framework for discovering drug leadsCode0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
Constraint-Free Structure Learning with Smooth Acyclic OrientationsCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
Private Graph Extraction via Feature ExplanationsCode0
GRAIN: Exact Graph Reconstruction from GradientsCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.