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 1001–1050 of 1949 papers

TitleStatusHype
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks—0
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs—0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
Global Self-Attention as a Replacement for Graph ConvolutionCode1
Fuzzy Logic Based Logical Query Answering on Knowledge GraphsCode1
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link PredictionCode0
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks—0
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
OKGIT: Open Knowledge Graph Link Prediction with Implicit TypesCode0
Learning Faithful Representations of Causal Graphs—0
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning—0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
ROD: Reception-aware Online Distillation for Sparse GraphsCode0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
Data Considerations in Graph Representation Learning for Supply Chain Networks—0
Relational Graph Convolutional Networks: A Closer LookCode1
A Survey on Role-Oriented Network EmbeddingCode1
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021—0
Improving Inductive Link Prediction Using Hyper-Relational FactsCode1
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention—0
Automated Graph Learning via Population Based Self-Tuning GCN—0
Universal Multilayer Network Exploration by Random Walk with RestartCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Asymptotics of Network Embeddings Learned via SubsamplingCode0
On Generalization of Graph Autoencoders with Adversarial TrainingCode0
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective—0
Edge Proposal Sets for Link PredictionCode1
Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition—0
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
Convolutional Hypercomplex Embeddings for Link PredictionCode0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
OKGIT: Open Knowledge Graph Link Prediction with Implicit TypesCode0
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge GraphsCode1
Neural Concept Formation in Knowledge GraphsCode0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
A Deep Latent Space Model for Graph Representation LearningCode0
ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural NetworksCode0
Large-Scale Network Embedding in Apache Spark—0
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path—0
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding—0
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs—0
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
Directed Graph Embeddings in Pseudo-Riemannian Manifolds—0
Query Embedding on Hyper-relational Knowledge GraphsCode1
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Node Classification Meets Link Prediction on Knowledge Graphs—0
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionCode1
Correcting Exposure Bias for Link RecommendationCode0
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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