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 651–675 of 1949 papers

Title	Date	Tasks	Status	Score
Faster Graph Embeddings via Coarsening	Jul 6, 2020	Link PredictionNode Classification	CodeCode Available	5
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing	Jul 20, 2020	Drug DiscoveryFew-Shot Learning	CodeCode Available	5
Reliable Time Prediction in the Markov Stochastic Block Model	Apr 9, 2020	ClusteringCollaborative Filtering	CodeCode Available	5
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts	May 6, 2019	Graph EmbeddingLink Prediction	CodeCode Available	5
Inferring Networks of Substitutable and Complementary Products	Jun 29, 2015	Link PredictionRecommendation Systems	CodeCode Available	5
Inter-domain Multi-relational Link Prediction	Jun 11, 2021	Link PredictionPrediction	CodeCode Available	5
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding	Mar 23, 2025	Dimensionality ReductionGraph Embedding	CodeCode Available	5
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations	May 17, 2023	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	5
Knowledge Graph Completion via Complex Tensor Factorization	Feb 22, 2017	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	5
Conformal link prediction for false discovery rate control	Jun 26, 2023	Link PredictionPrediction	CodeCode Available	5
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs	Jun 4, 2019	Knowledge Base CompletionKnowledge Graph Completion	CodeCode Available	5
A Hidden Challenge of Link Prediction: Which Pairs to Check?	Feb 15, 2021	Link PredictionRepresentation Learning	CodeCode Available	5
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis	Aug 14, 2023	Inductive knowledge graph completionKnowledge Graph Completion	CodeCode Available	5
FakeEdge: Alleviate Dataset Shift in Link Prediction	Nov 29, 2022	Link PredictionPrediction	CodeCode Available	5
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction	Mar 25, 2019	Link PredictionRelation	CodeCode Available	5
Kernel Node Embeddings	Sep 8, 2019	Link PredictionNode Classification	CodeCode Available	5
Incorporating Literals into Knowledge Graph Embeddings	Feb 3, 2018	Entity EmbeddingsKnowledge Graph Embeddings	CodeCode Available	5
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings	Apr 6, 2019	Dynamic graph embeddingGraph Embedding	CodeCode Available	5
Frequent Pattern Mining in Continuous-time Temporal Networks	May 12, 2021	ClusteringLink Prediction	CodeCode Available	5
Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction	Dec 9, 2020	Link PredictionMulti-Task Learning	CodeCode Available	5
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations	Apr 12, 2022	Community DetectionGraph Representation Learning	CodeCode Available	5
Improving rule mining via embedding-based link prediction	Jun 14, 2024	Knowledge GraphsLink Prediction	CodeCode Available	5
Independent Distribution Regularization for Private Graph Embedding	Aug 16, 2023	AttributeGraph Embedding	CodeCode Available	5
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer	Feb 4, 2022	Knowledge Graph CompletionLanguage Modeling	CodeCode Available	5
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks	Dec 16, 2023	Entity EmbeddingsInductive Link Prediction	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