About

Link prediction is a task to estimate the probability of links between nodes in a graph.

( Image credit: Inductive Representation Learning on Large Graphs )

Benchmarks

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Subtasks

Datasets

Latest papers with code

NeuralLog: a Neural Logic Language

4 May 2021guimaraes13/NeuralLog

Application domains that require considering relationships among objects which have real-valued attributes are becoming even more important.

LINK PREDICTION

3
04 May 2021

Representation Learning using Graph Autoencoders with Residual Connections

3 May 2021indritnallbani/Representation-Learning-using-Graph-Autoencoders-with-Residual-Connections

In this paper, we study the effect of adding residual connections to shallow and deep graph variational and vanilla autoencoders.

LINK PREDICTION REPRESENTATION LEARNING

0
03 May 2021

Unsupervised Deep Manifold Attributed Graph Embedding

27 Apr 2021zangzelin/paper_code_DMAGE

Unsupervised attributed graph representation learning is challenging since both structural and feature information are required to be represented in the latent space.

GRAPH EMBEDDING GRAPH REPRESENTATION LEARNING LINK PREDICTION NODE CLUSTERING

2
27 Apr 2021

Link Prediction on N-ary Relational Data Based on Relatedness Evaluation

21 Apr 2021gsp2014/NaLP

However, they mainly focus on link prediction on binary relational data, where facts are usually represented as triples in the form of (head entity, relation, tail entity).

KNOWLEDGE GRAPHS LINK PREDICTION

9
21 Apr 2021

NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion

15 Apr 2021luffycodes/neptune

Knowledge graphs link entities through relations to provide a structured representation of real world facts.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

8
15 Apr 2021

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability

14 Apr 2021THU-KEG/BIMR

However, we find in experiments that many paths given by these models are actually unreasonable, while little works have been done on interpretability evaluation for them.

LINK PREDICTION

3
14 Apr 2021

mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding

6 Apr 2021XinyiZ001/mSHINE

To address this issue, a novel meta-path-based HIN representation learning framework named mSHINE is designed to simultaneously learn multiple node representations for different meta-paths.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

2
06 Apr 2021

Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records

22 Mar 2021AynurGuluzade/DARLING

We evaluate DARLING through link prediction for treatments and medicines, on a medical KG constructed from EMR data, and illustrate its superior performance compared to existing KG embedding models.

KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

0
22 Mar 2021

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

18 Mar 2021liu-yushan/PoLo

Biomedical knowledge graphs permit an integrative computational approach to reasoning about biological systems.

KNOWLEDGE GRAPHS LINK PREDICTION

7
18 Mar 2021

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

17 Mar 2021snap-stanford/ogb

We show that the expressive models significantly outperform simple scalable baselines, indicating an opportunity for dedicated efforts to further improve graph ML at scale.

GRAPH LEARNING GRAPH REGRESSION KNOWLEDGE GRAPHS LINK PREDICTION NODE CLASSIFICATION

926
17 Mar 2021