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 1451–1500 of 1949 papers

TitleStatusHype
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction—0
Link Prediction for Temporally Consistent Networks—0
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
NENET: An Edge Learnable Network for Link Prediction in Scene Text—0
Neural Collaborative Filtering vs. Matrix Factorization RevisitedCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning—0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Asymmetric Transitivity Preserving Graph Embedding—0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Regex Queries over Incomplete Knowledge BasesCode0
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks—0
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion—0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Heuristics for Link Prediction in Multiplex Networks—0
Privacy Shadow: Measuring Node Predictability and Privacy Over Time—0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN—0
Epitomic Variational Graph AutoencoderCode0
Graph Representation Learning via Ladder Gamma Variational AutoencodersCode0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Gossip and Attend: Context-Sensitive Graph Representation LearningCode0
Temporal Network Representation Learning via Historical Neighborhoods AggregationCode0
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay—0
Bipartite Link Prediction based on Topological Features via 2-hop Path—0
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks—0
Link Prediction using Graph Neural Networks for Master Data Management—0
Knowledge Graphs and Knowledge Networks: The Story in Brief—0
EPINE: Enhanced Proximity Information Network Embedding—0
Self-Supervised Graph Representation Learning via Global Context Prediction—0
DSSLP: A Distributed Framework for Semi-supervised Link Prediction—0
DeBayes: a Bayesian Method for Debiasing Network EmbeddingsCode0
Smoothing Graphons for Modelling Exchangeable Relational Data—0
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?Code0
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling—0
Data Augmentation for Personal Knowledge Base Population—0
Investigating Extensions to Random Walk Based Graph Embedding—0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Block-Approximated Exponential Random GraphsCode0
Graph Convolutional Gaussian Processes For Link Prediction—0
Vertex-reinforced Random Walk for Network EmbeddingCode0
Pre-training Tasks for Embedding-based Large-scale Retrieval—0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
ALPINE: Active Link Prediction using Network Embedding—0
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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