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Graph Reconstruction

Papers

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Showing 51–88 of 88 papers

TitleStatusHype
An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow—0
HEAT: Holistic Edge Attention Transformer for Structured ReconstructionCode1
Inference Attacks Against Graph Neural NetworksCode1
Reconstruction for Powerful Graph Representations—0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
Edge Representation Learning with HypergraphsCode1
TGRNet: A Table Graph Reconstruction Network for Table Structure RecognitionCode1
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge GraphsCode1
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian ApproachCode2
Pseudo-Riemannian Graph Convolutional NetworksCode1
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Normalized multivariate time series causality analysis and causal graph reconstruction—0
Permutation-Invariant Variational Autoencoder for Graph-Level Representation LearningCode1
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks—0
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Disentangling homophily, community structure and triadic closure in networksCode0
Learning Node Representations from Noisy Graph Structures—0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation—0
GloDyNE: Global Topology Preserving Dynamic Network EmbeddingCode1
Privacy-Preserving Approach PBCN in Social Network With Differential Privacy—0
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks—0
Self-Constructing Graph Convolutional Networks for Semantic LabelingCode1
Unsupervised Graph Embedding via Adaptive Graph Learning—0
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship InferenceCode1
Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods—0
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank—0
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional TransformerCode1
Marginalized Latent Semantic Encoder for Zero-Shot Learning—0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
Generative Graph Convolutional Network for Growing Graphs—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
Node Representation Learning for Directed Graphs—0
Can GAN Learn Topological Features of a Graph?—0
Information Theoretic Optimal Learning of Gaussian Graphical Models—0
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability—0
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