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

Showing 501525 of 1949 papers

TitleStatusHype
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Dynamic Network Embedding via Incremental Skip-gram with Negative SamplingCode0
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation LearningCode0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
DyRep: Learning Representations over Dynamic GraphsCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
An Open-World Extension to Knowledge Graph Completion ModelsCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Benchmarks for Graph Embedding EvaluationCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community InfluencesCode0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Discriminative Predicate Path Mining for Fact Checking in Knowledge GraphsCode0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Improving rule mining via embedding-based link predictionCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
A Deep Sequential Model for Discourse Parsing on Multi-Party DialoguesCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
A Neural Network for SemigroupsCode0
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Benchmark Results

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