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 14511475 of 1949 papers

TitleStatusHype
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction0
Link Prediction for Temporally Consistent Networks0
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding0
NENET: An Edge Learnable Network for Link Prediction in Scene Text0
Neural Collaborative Filtering vs. Matrix Factorization RevisitedCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Asymmetric Transitivity Preserving Graph Embedding0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases0
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 networks0
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework0
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Heuristics for Link Prediction in Multiplex Networks0
Privacy Shadow: Measuring Node Predictability and Privacy Over Time0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN0
Epitomic Variational Graph AutoencoderCode0
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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