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 301–350 of 1949 papers

TitleStatusHype
Instruction-based Hypergraph Pretraining—0
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Directed Criteria Citation Recommendation and Ranking Through Link Prediction—0
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction—0
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge GraphsCode0
xLP: Explainable Link Prediction for Master Data Management—0
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features—0
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction—0
A Differential Geometric View and Explainability of GNN on Evolving Graphs—0
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
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs—0
Spectral Invariant Learning for Dynamic Graphs under Distribution ShiftsCode1
In-n-Out: Calibrating Graph Neural Networks for Link Prediction—0
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space—0
Multi-perspective Improvement of Knowledge Graph Completion with Large Language ModelsCode2
Unveiling Hidden Links Between Unseen Security Entities—0
OpenGraph: Towards Open Graph Foundation ModelsCode3
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC—0
Negative Sampling in Knowledge Graph Representation Learning: A Review—0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs—0
Automating psychological hypothesis generation with AI: when large language models meet causal graph—0
Link Prediction with Physics-Inspired Graph Neural Networks—0
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information EmbeddingCode0
Expressive Higher-Order Link Prediction through Hypergraph Symmetry BreakingCode0
Unlink to Unlearn: Simplifying Edge Unlearning in GNNsCode0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
Can we Soft Prompt LLMs for Graph Learning Tasks?—0
Class-Balanced and Reinforced Active Learning on Graphs—0
Node Duplication Improves Cold-start Link PredictionCode0
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives—0
SimMLP: Training MLPs on Graphs without SupervisionCode1
Multi-Label Zero-Shot Product Attribute-Value ExtractionCode0
BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT—0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link PredictionCode0
Mixture of Link Predictors on GraphsCode0
NetInfoF Framework: Measuring and Exploiting Network Usable InformationCode0
Universal Link Predictor By In-Context Learning on Graphs—0
Link-aware link prediction over temporal graph by pattern recognitionCode0
Dynamic Graph Information BottleneckCode1
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE ModelsCode0
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph TransformersCode2
Link Prediction with Relational Hypergraphs—0
Masked Graph Autoencoder with Non-discrete BandwidthsCode1
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate TransformerCode0
Statistical Guarantees for Link Prediction using Graph Neural Networks—0
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent SamplingCode0
GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningCode2
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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