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 326–350 of 1949 papers

Title	Date	Tasks	Status	Hype	Score
Confidence-Based Feature Imputation for Graphs with Partially Known Features	May 26, 2023	Graph LearningImputation	CodeCode Available	1	5
Linkage Based Face Clustering via Graph Convolution Network	Mar 27, 2019	ClusteringFace Clustering	CodeCode Available	1	5
LinkGPT: Teaching Large Language Models To Predict Missing Links	Jun 7, 2024	Few-Shot LearningLink Prediction	CodeCode Available	1	5
Link Prediction for Flow-Driven Spatial Networks	Mar 25, 2023	Link PredictionPrediction	CodeCode Available	1	5
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding	Jul 27, 2019	Graph ReconstructionLink Prediction	CodeCode Available	1	5
Convolutional 2D Knowledge Graph Embeddings	Jul 5, 2017	Knowledge Graph EmbeddingsKnowledge Graphs	CodeCode Available	1	5
Graph Algorithms for Multiparallel Word Alignment	Sep 13, 2021	Link PredictionMachine Translation	CodeCode Available	1	5
Graph Convolutional Networks for Graphs Containing Missing Features	Jul 9, 2020	Graph LearningImputation	CodeCode Available	1	5
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning	Mar 22, 2023	Dynamic Link PredictionDynamic Node Classification	CodeCode Available	1	5
Adaptive Graph Diffusion Networks	Dec 30, 2020	GPULink Prediction	CodeCode Available	1	5
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks	Feb 21, 2023	Edge ClassificationLink Prediction	CodeCode Available	1	5
Knowledge Graph Convolutional Networks for Recommender Systems	Mar 18, 2019	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	1	5
Convolutional Complex Knowledge Graph Embeddings	Aug 7, 2020	Knowledge Graph EmbeddingsKnowledge Graphs	CodeCode Available	1	5
Explainable Link Prediction for Emerging Entities in Knowledge Graphs	May 1, 2020	Knowledge GraphsLink Prediction	CodeCode Available	1	5
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation	Mar 17, 2022	Entity EmbeddingsFederated Learning	CodeCode Available	1	5
Machine learning on knowledge graphs for context-aware security monitoring	May 18, 2021	BIG-bench Machine LearningIntrusion Detection	CodeCode Available	1	5
ContextGNN: Beyond Two-Tower Recommendation Systems	Nov 29, 2024	Link PredictionRecommendation Systems	CodeCode Available	1	5
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection	Dec 23, 2022	Link Prediction	CodeCode Available	1	5
Contextual Parameter Generation for Knowledge Graph Link Prediction	Apr 3, 2020	Entity EmbeddingsLink Prediction	CodeCode Available	1	5
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks	Nov 23, 2022	Computational EfficiencyGraph Neural Network	CodeCode Available	1	5
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction	Sep 30, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1	5
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs	Dec 31, 2023	Image ClassificationKnowledge Graphs	CodeCode Available	1	5
Message Passing Query Embedding	Feb 6, 2020	Entity EmbeddingsGraph Neural Network	CodeCode Available	1	5
Metapath- and Entity-aware Graph Neural Network for Recommendation	Oct 22, 2020	Graph Neural NetworkLink Prediction	CodeCode Available	1	5
Representation Learning for Attributed Multiplex Heterogeneous Network	May 5, 2019	Graph EmbeddingInductive Learning	CodeCode Available	1	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