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 201–225 of 1949 papers

Title	Date	Tasks	Status	Hype
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation	Jan 20, 2022	Adversarial AttackContrastive Learning	CodeCode Available	1
Decoupling the Depth and Scope of Graph Neural Networks	Jan 19, 2022	Link PredictionNode Classification	CodeCode Available	1
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings	Jan 14, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs	Jan 7, 2022	DecoderGraph Neural Network	CodeCode Available	1
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model	Jan 4, 2022	DecoderLink Prediction	CodeCode Available	1
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction	Dec 20, 2021	Knowledge Graph CompletionKnowledge Graph Embedding	CodeCode Available	1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning	Dec 18, 2021	Knowledge GraphsLink Prediction	CodeCode Available	1
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs	Dec 15, 2021	Knowledge GraphsLink Prediction	CodeCode Available	1
Pairwise Learning for Neural Link Prediction	Dec 6, 2021	Learning-To-RankLink Prediction	CodeCode Available	1
HGATE: Heterogeneous Graph Attention Auto-Encoders	Nov 28, 2021	Graph AttentionGraph Representation Learning	CodeCode Available	1
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns	Nov 11, 2021	Data PoisoningGraph Embedding	CodeCode Available	1
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods	Nov 4, 2021	Data PoisoningInterpretable Machine Learning	CodeCode Available	1
Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques	Nov 1, 2021	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones	Oct 28, 2021	Ancestor-descendant predictionKnowledge Graph Completion	CodeCode Available	1
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding	Oct 27, 2021	Entity EmbeddingsGraph Embedding	CodeCode Available	1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding	Oct 27, 2021	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization	Oct 27, 2021	Link PredictionLink Property Prediction	CodeCode Available	1
A Probabilistic Framework for Knowledge Graph Data Augmentation	Oct 25, 2021	Data AugmentationKnowledge Graph Completion	CodeCode Available	1
A Broader Picture of Random-walk Based Graph Embedding	Oct 24, 2021	Graph EmbeddingLink Prediction	CodeCode Available	1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs	Oct 22, 2021	Knowledge GraphsLink Prediction	CodeCode Available	1
Boosting Graph Embedding on a Single GPU	Oct 19, 2021	CPUGPU	CodeCode Available	1
GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding	Oct 12, 2021	Edge ClassificationGraph Representation Learning	CodeCode Available	1
Neural Link Prediction with Walk Pooling	Oct 8, 2021	Link PredictionPrediction	CodeCode Available	1
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations	Oct 6, 2021	Graph Representation LearningKnowledge Base Completion	CodeCode Available	1
Benchmarking Graph Neural Networks on Dynamic Link Prediction	Sep 29, 2021	BenchmarkingDynamic Link Prediction	CodeCode Available	1

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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