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
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Non-IID Transfer Learning on GraphsCode1
OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge ServicesCode1
OGB-LSC: A Large-Scale Challenge for Machine Learning on GraphsCode1
Global Self-Attention as a Replacement for Graph ConvolutionCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
Dynamic Graph Information BottleneckCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
Distance-Enhanced Graph Neural Network for Link PredictionCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
A Representation Learning Framework for Property GraphsCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
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
Disentangled Condensation for Large-scale GraphsCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Adversarial Training Methods for Network EmbeddingCode1
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingCode1
A Self-Attention Network based Node Embedding ModelCode1
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationCode1
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder modelCode1
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Force2Vec: Parallel force-directed graph embeddingCode1
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
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
GIPA: A General Information Propagation Algorithm for Graph LearningCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
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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