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 301325 of 1949 papers

TitleStatusHype
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs EmbeddingCode0
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Directed Criteria Citation Recommendation and Ranking Through Link Prediction0
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction0
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge GraphsCode0
xLP: Explainable Link Prediction for Master Data Management0
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features0
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction0
A Differential Geometric View and Explainability of GNN on Evolving Graphs0
RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code CompletionCode2
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingCode0
Spectral Invariant Learning for Dynamic Graphs under Distribution ShiftsCode1
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs0
In-n-Out: Calibrating Graph Neural Networks for Link Prediction0
Multi-perspective Improvement of Knowledge Graph Completion with Large Language ModelsCode2
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space0
Unveiling Hidden Links Between Unseen Security Entities0
OpenGraph: Towards Open Graph Foundation ModelsCode3
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC0
Negative Sampling in Knowledge Graph Representation Learning: A Review0
Hyperdimensional Representation Learning for Node Classification and Link Prediction0
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs0
Link Prediction with Physics-Inspired Graph Neural Networks0
Automating psychological hypothesis generation with AI: when large language models meet causal graph0
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information EmbeddingCode0
Show:102550
← PrevPage 13 of 78Next →

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