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 1–50 of 1192 papers

TitleStatusHype
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Robust Knowledge Graph Embedding via Denoising—0
Injecting Knowledge Graphs into Large Language Models—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?—0
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
Recent Advances in Malware Detection: Graph Learning and Explainability—0
Spectral Journey: How Transformers Predict the Shortest Path—0
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
A Geometric Perspective for High-Dimensional Multiplex GraphsCode0
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts—0
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model—0
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining—0
Large Language Models for Knowledge Graph Embedding Techniques, Methods, and Challenges: A Survey—0
SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models—0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene IdentificationCode0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning—0
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree DistributionCode0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
Predictive Query-based Pipeline for Graph Data—0
From communities to interpretable network and word embedding: an unified approach—0
Non-Progressive Influence Maximization in Dynamic Social Networks—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified