SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 1192 papers

TitleStatusHype
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchCode0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches—0
Region Graph Embedding Network for Zero-Shot Learning—0
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach—0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens—0
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
Overlapping Spaces for Compact Graph RepresentationsCode0
Knowledge Graph Embedding Compression—0
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding—0
TreeRNN: Topology-Preserving Deep GraphEmbedding and LearningCode0
Pairwise Supervision Can Provably Elicit a Decision Boundary—0
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
5* Knowledge Graph Embeddings with Projective Transformations—0
FREDE: Anytime Graph Embeddings—0
Little Ball of Fur: A Python Library for Graph Sampling—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach—0
NagE: Non-Abelian Group Embedding for Knowledge Graphs—0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Asymmetric Transitivity Preserving Graph Embedding—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization—0
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Binarized Graph Neural Network—0
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations—0
Unsupervised Graph Embedding via Adaptive Graph Learning—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
When Radiology Report Generation Meets Knowledge Graph—0
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook—0
Investigating Extensions to Random Walk Based Graph Embedding—0
Predicting event attendance exploring social influence—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Relation Embedding for Personalised POI Recommendation—0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified