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 16261650 of 1949 papers

TitleStatusHype
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information0
Few-shot Link Prediction on N-ary Facts0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths0
Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction0
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks0
EnhancE:Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction0
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data0
Fitting Low-rank Models on Egocentrically Sampled Partial Networks0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations0
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks0
Flashlight: Scalable Link Prediction with Effective Decoders0
FMGNN: Fused Manifold Graph Neural Network0
FOBE and HOBE: First- and High-Order Bipartite Embeddings0
Enhanced Expressivity in Graph Neural Networks with Lanczos-Based Linear Constraints0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding0
Forward Backward Similarity Search in Knowledge Networks0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey0
Vertex-Centric Visual Programming for Graph Neural Networks0
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction0
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference0
Revisiting Graph Neural Networks for Link Prediction0
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs0
From communities to interpretable network and word embedding: an unified approach0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction0
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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