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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1650 of 1949 papers

TitleStatusHype
Multi-relational Poincaré Graph EmbeddingsCode0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
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 Embedding—0
Correlated Variational Auto-EncodersCode1
Stochastic Blockmodels meet Graph Neural Networks—0
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 Networks—0
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language—0
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 Completion—0
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Quaternion Knowledge Graph EmbeddingsCode0
Link Prediction in Multiplex Networks based on Interlayer Similarity—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
Deep Representation Learning for Social Network Analysis—0
Compositional Network Embedding—0
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 Completion—0
Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning—0
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 Embedding—0
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation ExtractionCode0
Node Embedding over Temporal GraphsCode0
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning—0
A Comparative Study for Unsupervised Network Representation Learning—0
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 Graphs—0
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 Embedding—0
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction—0
Signed Link Prediction with Sparse Data: The Role of Personality Information—0
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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
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)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