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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 751–775 of 1949 papers

Title	Date	Tasks	Status	Score
A generalized method toward drug-target interaction prediction via low-rank matrix projection	Jun 6, 2017	BIG-bench Machine LearningDrug Discovery	CodeCode Available	5
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex	Apr 16, 2025	Link PredictionNode Classification	CodeCode Available	5
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules	Dec 6, 2024	Knowledge GraphsLink Prediction	CodeCode Available	5
GraphFM: A Comprehensive Benchmark for Graph Foundation Model	Jun 12, 2024	GPUGraph Neural Network	CodeCode Available	5
Expanding the Vocabulary of BERT for Knowledge Base Construction	Oct 12, 2023	Knowledge Base ConstructionKnowledge Base Population	CodeCode Available	5
CoKE: Contextualized Knowledge Graph Embedding	Nov 6, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
GraphGAN: Graph Representation Learning with Generative Adversarial Nets	Nov 22, 2017	Computational EfficiencyGraph Representation Learning	CodeCode Available	5
Multiple Kernel Representation Learning on Networks	Jun 9, 2021	Link PredictionNode Classification	CodeCode Available	5
ExEm: Expert Embedding using dominating set theory with deep learning approaches	Jan 16, 2020	Graph EmbeddingLink Prediction	CodeCode Available	5
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality	Jul 1, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions	Nov 1, 2019	Knowledge Graph EmbeddingsKnowledge Graphs	CodeCode Available	5
A source separation approach to temporal graph modelling for computer networks	Mar 28, 2023	Link Prediction	CodeCode Available	5
Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data	Dec 21, 2019	General ClassificationLink Prediction	CodeCode Available	5
Evaluating Overfit and Underfit in Models of Network Community Structure	Feb 28, 2018	Community DetectionDiagnostic	CodeCode Available	5
DeBayes: a Bayesian Method for Debiasing Network Embeddings	Feb 26, 2020	BIG-bench Machine LearningDecision Making	CodeCode Available	5
Graph Learning Network: A Structure Learning Algorithm	May 29, 2019	Community DetectionGeneral Classification	CodeCode Available	5
Influence-guided Data Augmentation for Neural Tensor Completion	Aug 23, 2021	Data AugmentationImputation	CodeCode Available	5
CoCon: A Data Set on Combined Contextualized Research Artifact Use	Mar 27, 2023	Link PredictionPrediction	CodeCode Available	5
Reliable Time Prediction in the Markov Stochastic Block Model	Apr 9, 2020	ClusteringCollaborative Filtering	CodeCode Available	5
Decompressing Knowledge Graph Representations for Link Prediction	Nov 11, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
Evaluating Link Prediction Explanations for Graph Neural Networks	Aug 3, 2023	Graph ClassificationLink Prediction	CodeCode Available	5
Inferring Networks of Substitutable and Complementary Products	Jun 29, 2015	Link PredictionRecommendation Systems	CodeCode Available	5
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces	Aug 4, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
Inter-domain Multi-relational Link Prediction	Jun 11, 2021	Link PredictionPrediction	CodeCode Available	5
A simple yet effective baseline for non-attributed graph classification	Nov 8, 2018	ClassificationComputational Efficiency	CodeCode Available	5

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All datasets FB15k-237 WN18RR WN18 FB15k YAGO3-10 ICEWS05-15 ICEWS14 Citeseer Cora Pubmed Wikidata5M GDELT

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AutoKGE	Hits@10	0.56	—	Unverified
2	CP-N3-RP	Hits@10	0.55	—	Unverified
3	DistMult (after variational EM)	Hits@10	0.55	—	Unverified
4	KG-R3	Hits@10	0.54	—	Unverified
5	LASS	Hits@10	0.53	—	Unverified
6	MDE_adv	Hits@10	0.53	—	Unverified
7	GFA-NN	Hits@10	0.52	—	Unverified
8	KGRefiner	Hits@10	0.49	—	Unverified
9	ComplEx NSCaching	Hits@10	0.48	—	Unverified
10	LogicENN	Hits@10	0.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MoCoKGC	Hits@10	0.88	—	Unverified
2	KERMIT	Hits@10	0.83	—	Unverified
3	MoCoSA	Hits@10	0.82	—	Unverified
4	SimKGCIB(+PB+SN)	Hits@10	0.82	—	Unverified
5	C-LMKE(bert-base)	Hits@10	0.79	—	Unverified
6	LASS	Hits@10	0.79	—	Unverified
7	LP-BERT	Hits@10	0.75	—	Unverified
8	KGLM	Hits@10	0.74	—	Unverified
9	StAR(Self-Adp)	Hits@10	0.71	—	Unverified
10	PALT	Hits@10	0.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OpenKE (han2018openke)	training time (s)	11	—	Unverified
2	LibKGE (ruffinelli2020you)	training time (s)	10	—	Unverified
3	GraphVite (zhu2019graphvite)	training time (s)	6	—	Unverified
4	Inverse Model	Hits@10	0.96	—	Unverified
5	QuatDE	Hits@10	0.96	—	Unverified
6	LineaRE	Hits@10	0.96	—	Unverified
7	AutoKGE	Hits@10	0.96	—	Unverified
8	MEI (small)	Hits@10	0.96	—	Unverified
9	ComplEx-N3 (reciprocal)	Hits@10	0.96	—	Unverified
10	RotatE	Hits@10	0.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPTransE	Hits@10	0.9	—	Unverified
2	AutoKGE	MRR	0.86	—	Unverified
3	ComplEx-N3 (reciprocal)	MRR	0.86	—	Unverified
4	LineaRE	MRR	0.84	—	Unverified
5	DistMult (after variational EM)	MRR	0.84	—	Unverified
6	QuatE	MRR	0.83	—	Unverified
7	SEEK	MRR	0.83	—	Unverified
8	MEI-BTD	MRR	0.81	—	Unverified
9	MEI (small)	MRR	0.8	—	Unverified
10	pRotatE	MRR	0.8	—	Unverified