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 16011625 of 1949 papers

TitleStatusHype
Multi-relational Poincaré Graph EmbeddingsCode0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules0
Mutual Information Maximization in Graph Neural NetworksCode0
Neural Graph Collaborative FilteringCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
TuckER: Tensor Factorization for Knowledge Graph CompletionCode0
Relation Structure-Aware Heterogeneous Information Network Embedding0
Correlated Variational Auto-EncodersCode1
Stochastic Blockmodels meet Graph Neural Networks0
Can NetGAN be improved on short random walks?Code0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Network Representation Learning: Consolidation and Renewed BearingCode0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
Link Prediction in Hypergraphs using Graph Convolutional Networks0
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language0
DyRep: Learning Representations over Dynamic GraphsCode0
On the Use of ArXiv as a DatasetCode0
Graph Convolutional Networks with EigenPoolingCode0
Soft Marginal TransE for Scholarly Knowledge Graph Completion0
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Quaternion Knowledge Graph EmbeddingsCode0
Link Prediction in Multiplex Networks based on Interlayer Similarity0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions0
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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