SOTAVerified

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

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Showing 801–850 of 1949 papers

TitleStatusHype
Completing Networks by Learning Local Connection PatternsCode0
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering—0
Automating Neural Architecture Design without Search—0
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space—0
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link PredictionCode0
A Hierarchical N-Gram Framework for Zero-Shot Link PredictionCode0
TeleGraph: A Benchmark Dataset for Hierarchical Link PredictionCode2
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph—0
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph RepresentationsCode0
Multi-view graph structure learning using subspace merging on Grassmann manifold—0
A Survey on Graph Representation Learning Methods—0
Synthetic Graph Generation to Benchmark Graph Learning—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
AdaGrid: Adaptive Grid Search for Link Prediction Training ObjectiveCode0
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering—0
TGL: A General Framework for Temporal GNN Training on Billion-Scale GraphsCode2
Augmenting Knowledge Graphs for Better Link PredictionCode0
Sequence-to-Sequence Knowledge Graph Completion and Question AnsweringCode1
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models—0
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion—0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Neural Theorem Provers Delineating Search Area Using RNN—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Deep Partial Multiplex Network Embedding—0
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
R-GCN: The R Could Stand for RandomCode1
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Equivariant and Stable Positional Encoding for More Powerful Graph Neural NetworksCode1
Directed Graph Auto-EncodersCode1
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction—0
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
Improving the Level of Autism Discrimination through GraphRNN Link Prediction—0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion—0
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Obtaining Dyadic Fairness by Optimal TransportCode0
Bandit Sampling for Multiplex Networks—0
Link Prediction of Artificial Intelligence Concepts using Low Computational PowerCode0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified