SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

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Showing 26–50 of 1192 papers

TitleStatusHype
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