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 101–150 of 1192 papers

TitleStatusHype
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph EmbeddingCode0
Croppable Knowledge Graph Embedding—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
UniGLM: Training One Unified Language Model for Text-Attributed Graph EmbeddingCode1
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python—0
Combinatorial Optimization with Automated Graph Neural NetworksCode2
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
Fast and Scalable Multi-Kernel Encoder Classifier—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma—0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding—0
Valid Conformal Prediction for Dynamic GNNsCode0
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network—0
Adaptive Fuzzy C-Means with Graph Embedding—0
Simplicity within biological complexity—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationCode1
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Towards Continual Knowledge Graph Embedding via Incremental DistillationCode1
Robustness of graph embedding methods for community detectionCode0
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph EmbeddingCode0
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings—0
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalCode0
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex SpaceCode0
Hyperbolic Heterogeneous Graph Attention Networks—0
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Milgram's experiment in the knowledge space: Individual navigation strategies—0
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery—0
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion—0
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs—0
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network—0
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified