Browse > Graphs > Link Prediction

Link Prediction

162 papers with code · Graphs

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

( Image credit: Inductive Representation Learning on Large Graphs )

Leaderboards

Latest papers with code

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

5 Feb 2020cynricfu/MAGNN

A large number of real-world graphs or networks are inherently heterogeneous, involving a diversity of node types and relation types.

GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

3
05 Feb 2020

Graph Neighborhood Attentive Pooling

28 Jan 2020zekarias-tilahun/GAP

Network representation learning (NRL) is a powerful technique for learning low-dimensional vector representation of high-dimensional and sparse graphs.

COMMUNITY DETECTION LINK PREDICTION REPRESENTATION LEARNING

3
28 Jan 2020

Simple and Effective Graph Autoencoders with One-Hop Linear Models

21 Jan 2020deezer/linear_graph_autoencoders

Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods, with promising performances on challenging tasks such as link prediction and node clustering.

LINK PREDICTION

22
21 Jan 2020

Reasoning on Knowledge Graphs with Debate Dynamics

2 Jan 2020m-hildebrandt/R2D2

The main idea is to frame the task of triple classification as a debate game between two reinforcement learning agents which extract arguments -- paths in the knowledge graph -- with the goal to promote the fact being true (thesis) or the fact being false (antithesis), respectively.

KNOWLEDGE GRAPHS LINK PREDICTION

3
02 Jan 2020

Composition-based Multi-Relational Graph Convolutional Networks

ICLR 2020 malllabiisc/CompGCN

Multi-relational graphs are a more general and prevalent form of graphs where each edge has a label and direction associated with it.

GRAPH CLASSIFICATION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

26
01 Jan 2020

OpenBioLink: A benchmarking framework for large-scale biomedical link prediction

10 Dec 2019OpenBioLink/OpenBioLink

SUMMARY: Recently, novel machine-learning algorithms have shown potential for predicting undiscovered links in biomedical knowledge networks.

LINK PREDICTION

8
10 Dec 2019

Gaussian Embedding of Large-scale Attributed Graphs

2 Dec 2019bhagya-hettige/GLACE

Graph embedding methods transform high-dimensional and complex graph contents into low-dimensional representations.

GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

0
02 Dec 2019

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding

1 Dec 2019Linda-sunshine/JNET

Inspired by the concept of user schema in social psychology, we take a new perspective to perform user representation learning by constructing a shared latent space to capture the dependency among different modalities of user-generated data.

LINK PREDICTION NETWORK EMBEDDING

5
01 Dec 2019

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

21 Nov 2019MIRALab-USTC/KGE-HAKE

HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally reflect the hierarchy.

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

24
21 Nov 2019