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
Deep Representation Learning for Social Network Analysis0
Compositional Network Embedding0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
GNE: a deep learning framework for gene network inference by aggregating biological informationCode0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion0
Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
Linkage Based Face Clustering via Graph Convolution NetworkCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Domain Representation for Knowledge Graph Embedding0
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation ExtractionCode0
Node Embedding over Temporal GraphsCode0
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning0
A Comparative Study for Unsupervised Network Representation Learning0
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
MMKG: Multi-Modal Knowledge GraphsCode1
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs0
Learning Edge Properties in Graphs from Path AggregationsCode0
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measuresCode0
GNNExplainer: Generating Explanations for Graph Neural NetworksCode1
Logic Rules Powered Knowledge Graph Embedding0
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction0
Signed Link Prediction with Sparse Data: The Role of Personality Information0
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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