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 1–25 of 1192 papers

TitleStatusHype
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell ModelingCode3
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Combinatorial Optimization with Automated Graph Neural NetworksCode2
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of ExpertsCode2
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary SimilarityCode2
Multimodal Analogical Reasoning over Knowledge GraphsCode2
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
CogDL: A Comprehensive Library for Graph Deep LearningCode2
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph EmbeddingsCode2
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified FrameworkCode2
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
Knowledge Graph Embedding by Normalizing FlowsCode1
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph CompletionCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
UniGLM: Training One Unified Language Model for Text-Attributed Graph EmbeddingCode1
Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationCode1
Towards Continual Knowledge Graph Embedding via Incremental DistillationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified