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 376–400 of 1949 papers

Title	Date	Tasks	Status	Hype
Composition-based Multi-Relational Graph Convolutional Networks	Nov 8, 2019	General ClassificationGraph Classification	CodeCode Available	1
Hyperbolic Graph Convolutional Neural Networks	Oct 28, 2019	Link PredictionNode Classification	CodeCode Available	1
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks	Oct 2, 2019	ClusteringLink Prediction	CodeCode Available	1
Stacking Models for Nearly Optimal Link Prediction in Complex Networks	Sep 17, 2019	DiversityLink Prediction	CodeCode Available	1
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space	Sep 17, 2019	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations	Aug 30, 2019	Link PredictionMeta-Learning	CodeCode Available	1
Adversarial Training Methods for Network Embedding	Aug 30, 2019	Link PredictionNetwork Embedding	CodeCode Available	1
Variational Graph Recurrent Neural Networks	Aug 26, 2019	AttributeDynamic Link Prediction	CodeCode Available	1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding	Jul 27, 2019	Graph ReconstructionLink Prediction	CodeCode Available	1
Node Attribute Generation on Graphs	Jul 23, 2019	AttributeData Augmentation	CodeCode Available	1
Signed Graph Attention Networks	Jun 26, 2019	Graph AttentionGraph Neural Network	CodeCode Available	1
Neural Graph Collaborative Filtering	May 20, 2019	Collaborative FilteringLink Prediction	CodeCode Available	1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks	May 20, 2019	ClusteringComputational Efficiency	CodeCode Available	1
Correlated Variational Auto-Encoders	May 14, 2019	ClusteringLink Prediction	CodeCode Available	1
Representation Learning for Attributed Multiplex Heterogeneous Network	May 5, 2019	Graph EmbeddingInductive Learning	CodeCode Available	1
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding	Apr 26, 2019	AutoMLGraph Embedding	CodeCode Available	1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective	Mar 27, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
Linkage Based Face Clustering via Graph Convolution Network	Mar 27, 2019	ClusteringFace Clustering	CodeCode Available	1
Knowledge Graph Convolutional Networks for Recommender Systems	Mar 18, 2019	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	1
MMKG: Multi-Modal Knowledge Graphs	Mar 13, 2019	Knowledge GraphsLink Prediction	CodeCode Available	1
GNNExplainer: Generating Explanations for Graph Neural Networks	Mar 10, 2019	BIG-bench Machine LearningExplainable artificial intelligence	CodeCode Available	1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs	Feb 26, 2019	Dynamic Link PredictionEdge Classification	CodeCode Available	1
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	Feb 26, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
TuckER: Tensor Factorization for Knowledge Graph Completion	Jan 28, 2019	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	1
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding	Dec 16, 2018	Generative Adversarial NetworkGraph Embedding	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