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 951–975 of 1949 papers

Title	Date	Tasks	Status	Score
Transition Propagation Graph Neural Networks for Temporal Networks	Apr 15, 2023	Graph MiningLink Prediction	CodeCode Available	5
Translating Embeddings for Modeling Multi-relational Data	Dec 1, 2013	Link Prediction	CodeCode Available	5
Tucker decomposition-based Temporal Knowledge Graph Completion	Nov 16, 2020	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	5
TuckerDNCaching: high-quality negative sampling with tucker decomposition	Jun 20, 2023	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
TuckER: Tensor Factorization for Knowledge Graph Completion	May 16, 2019	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	5
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models	Feb 8, 2024	Link Prediction	CodeCode Available	5
Two Layer Walk: A Community-Aware Graph Embedding	Dec 17, 2024	Evolutionary AlgorithmsGraph Embedding	CodeCode Available	5
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision	Jul 1, 2018	Entity TypingKnowledge Base Completion	CodeCode Available	5
Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs	Jun 13, 2024	Link Prediction	CodeCode Available	5
Understanding the network formation pattern for better link prediction	Oct 17, 2021	Link PredictionPrediction	CodeCode Available	5
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding	Jun 14, 2021	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
Universal Knowledge Graph Embeddings	Oct 23, 2023	Entity DisambiguationGraph Embedding	CodeCode Available	5
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs	Feb 16, 2024	Link Prediction	CodeCode Available	5
Unsupervised Deep Manifold Attributed Graph Embedding	Apr 27, 2021	ClusteringGraph Embedding	CodeCode Available	5
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network	Feb 12, 2023	Graph Neural NetworkLink Prediction	CodeCode Available	5
Using hyperbolic large-margin classifiers for biological link prediction	Aug 1, 2019	Link PredictionPrediction	CodeCode Available	5
Vertex-reinforced Random Walk for Network Embedding	Feb 11, 2020	Link PredictionNetwork Embedding	CodeCode Available	5
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions	Nov 11, 2020	Graph Neural NetworkGraph Representation Learning	CodeCode Available	5
Wasserstein Adversarially Regularized Graph Autoencoder	Nov 9, 2021	ClusteringLink Prediction	CodeCode Available	5
Watch Your Step: Learning Node Embeddings via Graph Attention	Oct 26, 2017	Graph AttentionGraph Embedding	CodeCode Available	5
Web Links Prediction And Category-Wise Recommendation Based On Browser History	Feb 21, 2019	General ClassificationHyperparameter Optimization	CodeCode Available	5
Weisfeiler-lehman neural machine for link prediction	Aug 1, 2017	Link PredictionPrediction	CodeCode Available	5
Which way? Direction-Aware Attributed Graph Embedding	Jan 30, 2020	General ClassificationGraph Embedding	CodeCode Available	5
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network	Jan 20, 2023	Graph Neural NetworkKnowledge Graphs	CodeCode Available	5
Iterative Scene Graph Generation with Generative Transformers	Nov 30, 2022	Graph GenerationLink Prediction	—Unverified	0

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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