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 251–300 of 1949 papers

TitleStatusHype
Fast Graph Learning with Unique Optimal SolutionsCode1
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph EmbeddingCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
OGB-LSC: A Large-Scale Challenge for Machine Learning on GraphsCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
A Representation Learning Framework for Property GraphsCode1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Dynamic Graph Information BottleneckCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Disentangled Condensation for Large-scale GraphsCode1
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Embedding Entities and Relations for Learning and Inference in Knowledge BasesCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
Adversarial Training Methods for Network EmbeddingCode1
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
A Self-Attention Network based Node Embedding ModelCode1
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder modelCode1
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationCode1
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
A Generalization of Transformer Networks to GraphsCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Fuzzy Logic Based Logical Query Answering on Knowledge GraphsCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
Generative Graph Neural Networks for Link PredictionCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
Geometry Interaction Knowledge Graph EmbeddingsCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Distance-Enhanced Graph Neural Network for Link PredictionCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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