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Graph Reconstruction

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Showing 1–50 of 88 papers

TitleStatusHype
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian ApproachCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Generative Contrastive Graph Learning for RecommendationCode1
Graph Parsing NetworksCode1
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-IdentificationCode1
GloDyNE: Global Topology Preserving Dynamic Network EmbeddingCode1
Large-Scale Targeted Cause Discovery with Data-Driven LearningCode1
Graph Auto-Encoder Via Neighborhood Wasserstein ReconstructionCode1
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional TransformerCode1
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal modelsCode1
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge TransferCode1
Pseudo-Riemannian Graph Convolutional NetworksCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
Self-Constructing Graph Convolutional Networks for Semantic LabelingCode1
Permutation-Invariant Variational Autoencoder for Graph-Level Representation LearningCode1
Data Imputation with Iterative Graph ReconstructionCode1
TGRNet: A Table Graph Reconstruction Network for Table Structure RecognitionCode1
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain ApproximationCode1
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship InferenceCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Edge Representation Learning with HypergraphsCode1
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic ForecastingCode1
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge GraphsCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Inference Attacks Against Graph Neural NetworksCode1
Information Recovery-Driven Deep Incomplete Multiview Clustering NetworkCode1
HEAT: Holistic Edge Attention Transformer for Structured ReconstructionCode1
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
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
Constraint-Free Structure Learning with Smooth Acyclic OrientationsCode0
Disentangling homophily, community structure and triadic closure in networksCode0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
GRAIN: Exact Graph Reconstruction from GradientsCode0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
Normed Spaces for Graph EmbeddingCode0
Private Graph Extraction via Feature ExplanationsCode0
Generative Graph Convolutional Network for Growing Graphs—0
Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks—0
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank—0
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer—0
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification—0
FairGen: Towards Fair Graph Generation—0
Information Theoretic Optimal Learning of Gaussian Graphical Models—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Learning Node Representations from Noisy Graph Structures—0
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