SOTAVerified

Link Prediction

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

( Image credit: Inductive Representation Learning on Large Graphs )

Papers

Showing 351400 of 1949 papers

TitleStatusHype
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph CompletionCode1
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
TransEdge: Translating Relation-contextualized Embeddings for Knowledge GraphsCode1
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionCode1
Tensor Decompositions for temporal knowledge base completionCode1
The general theory of permutation equivarant neural networks and higher order graph variational encodersCode1
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence EncodersCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNNCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental StudyCode1
A Survey of Adversarial Learning on GraphsCode1
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Inductive Representation Learning on Temporal GraphsCode1
Message Passing Query EmbeddingCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
Knowledge Graph Embedding for Link Prediction: A Comparative AnalysisCode1
Tri-graph Information Propagation for Polypharmacy Side Effect PredictionCode1
Simple and Effective Graph Autoencoders with One-Hop Linear ModelsCode1
Reasoning on Knowledge Graphs with Debate DynamicsCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link PredictionCode1
Temporal Knowledge Graph Embedding Model based on Additive Time Series DecompositionCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
Hyperbolic Graph Convolutional Neural NetworksCode1
Keep It Simple: Graph Autoencoders Without Graph Convolutional NetworksCode1
Stacking Models for Nearly Optimal Link Prediction in Complex NetworksCode1
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
Adversarial Training Methods for Network EmbeddingCode1
Variational Graph Recurrent Neural NetworksCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Node Attribute Generation on GraphsCode1
Signed Graph Attention NetworksCode1
Neural Graph Collaborative FilteringCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Correlated Variational Auto-EncodersCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Linkage Based Face Clustering via Graph Convolution NetworkCode1
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
MMKG: Multi-Modal Knowledge GraphsCode1
GNNExplainer: Generating Explanations for Graph Neural NetworksCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex SpaceCode1
TuckER: Tensor Factorization for Knowledge Graph CompletionCode1
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph EmbeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified