SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Showing 351400 of 1192 papers

TitleStatusHype
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion0
EventKE: Event-Enhanced Knowledge Graph Embedding0
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task0
Expanding Semantic Knowledge for Zero-shot Graph Embedding0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion0
Explaining Knowledge Graph Embedding via Latent Rule Learning0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications0
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note0
Graph Embedding with Hierarchical Attentive Membership0
Graph Embedding with Rich Information through Heterogeneous Network0
Exponential Family Graph Embeddings0
Representing Hierarchical Structure by Using Cone Embedding0
EXTRACT: Explainable Transparent Control of Bias in Embeddings0
Extracting Attentive Social Temporal Excitation for Sequential Recommendation0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds0
A Semantic Filter Based on Relations for Knowledge Graph Completion0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?0
Farspredict: A benchmark dataset for link prediction0
Class Granularity: How richly does your knowledge graph represent the real world?0
Fast and Scalable Multi-Kernel Encoder Classifier0
Community Detection in General Hypergraph via Graph Embedding0
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations0
Fast Generating A Large Number of Gumbel-Max Variables0
Fast Knowledge Graph Completion using Graphics Processing Units0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding0
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks0
Feature Learning for Meta-Paths in Knowledge Graphs0
A Simple Spectral Failure Mode for Graph Convolutional Networks0
Feature Propagation on Graph: A New Perspective to Graph Representation Learning0
Graph Embedding with Data Uncertainty0
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability0
FedSheafHN: Personalized Federated Learning on Graph-structured Data0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph0
Finding MNEMON: Reviving Memories of Node Embeddings0
5* Knowledge Graph Embeddings with Projective Transformations0
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified