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

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Showing 1001–1025 of 1949 papers

TitleStatusHype
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
Link Prediction on Heterophilic Graphs via Disentangled Representation LearningCode0
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach—0
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks—0
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory—0
AutoWeird: Weird Translational Scoring Function Identified by Random Search—0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs—0
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation—0
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity—0
Text Enriched Sparse Hyperbolic Graph Convolutional Networks—0
A Survey on Hyperlink Prediction—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Constraint-based Multi-hop Question Answering with Knowledge Graph—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning—0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
The maximum capability of a topological feature in link predictionCode0
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph CompletionCode0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process—0
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction—0
Sampling Enclosing Subgraphs for Link PredictionCode0
Efficient and effective training of language and graph neural network models—0
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure—0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation LearningCode0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

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