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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1301–1350 of 1949 papers

TitleStatusHype
Universal Link Predictor By In-Context Learning on Graphs—0
NDGGNET-A Node Independent Gate based Graph Neural Networks—0
Negative Sampling in Knowledge Graph Representation Learning: A Review—0
A Hybrid Generative/Discriminative Approach To Citation Prediction—0
Neighbor2vec: an efficient and effective method for Graph Embedding—0
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion—0
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding—0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
NEMR: Network Embedding on Metric of Relation—0
NENET: An Edge Learnable Network for Link Prediction in Scene Text—0
Collaborative filtering via heterogeneous neural networks—0
Collaborative Filtering Approach to Link Prediction—0
ColdExpand: Semi-Supervised Graph Learning in Cold Start—0
Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process—0
AHINE: Adaptive Heterogeneous Information Network Embedding—0
A comparative study of similarity-based and GNN-based link prediction approaches—0
Scalable Hypergraph Embedding System—0
Network2Vec Learning Node Representation Based on Space Mapping in Networks—0
Network Analysis of the iNaturalist Citizen Science Community—0
Universal Representation for Code—0
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure—0
Network Embedding: An Overview—0
Network Embedding via Deep Prediction Model—0
Network Estimation by Mixing: Adaptivity and More—0
Network In Graph Neural Network—0
Temporal Network Embedding via Tensor Factorization—0
Zoo Guide to Network Embedding—0
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation—0
Unsupervised Adversarial Graph Alignment with Graph Embedding—0
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding—0
Temporal Smoothness Regularisers for Neural Link Predictors—0
Clustering as an Evaluation Protocol for Knowledge Embedding Representation of Categorised Multi-relational Data in the Clinical Domain—0
Classification in biological networks with hypergraphlet kernels—0
ANAE: Learning Node Context Representation for Attributed Network Embedding—0
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations—0
Citation network applications in a scientific co-authorship recommender system—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks—0
Characterizing Malicious Edges targeting on Graph Neural Networks—0
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion—0
Unsupervised Adversarially-Robust Representation Learning on Graphs—0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning—0
Tensorial and bipartite block models for link prediction in layered networks and temporal networks—0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
Neural-Symbolic Commonsense Reasoner with Relation Predictors—0
Neural-Symbolic Entangled Framework for Complex Query Answering—0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Neural Tensor Factorization—0
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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