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 101150 of 1949 papers

TitleStatusHype
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Equivariant and Stable Positional Encoding for More Powerful Graph Neural NetworksCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence EncodersCode1
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution MethodsCode1
Force2Vec: Parallel force-directed graph embeddingCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Generalizing Tensor Decomposition for N-ary Relational Knowledge BasesCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
A Probabilistic Framework for Knowledge Graph Data AugmentationCode1
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder modelCode1
GIPA: General Information Propagation Algorithm for Graph LearningCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Directed Graph Auto-EncodersCode1
Disentangled Condensation for Large-scale GraphsCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
A Generalization of Transformer Networks to GraphsCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
A Self-Attention Network based Node Embedding ModelCode1
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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