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Link Prediction

140 papers with code · Graphs

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

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Greatest papers with code

PyTorch-BigGraph: A Large-scale Graph Embedding System

28 Mar 2019facebookresearch/PyTorch-BigGraph

Graph embedding methods produce unsupervised node features from graphs that can then be used for a variety of machine learning tasks.

GRAPH EMBEDDING GRAPH PARTITIONING LINK PREDICTION

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

20 Dec 2014facebookresearch/PyTorch-BigGraph

We consider learning representations of entities and relations in KBs using the neural-embedding approach.

LINK PREDICTION

Inductive Representation Learning on Large Graphs

NeurIPS 2017 williamleif/GraphSAGE

Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying protein functions.

LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING

Graph Attention Networks

ICLR 2018 PetarV-/GAT

We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.

DOCUMENT CLASSIFICATION GRAPH EMBEDDING GRAPH REGRESSION LINK PREDICTION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Canonical Tensor Decomposition for Knowledge Base Completion

ICML 2018 Accenture/AmpliGraph

The problem of Knowledge Base Completion can be framed as a 3rd-order binary tensor completion problem.

KNOWLEDGE BASE COMPLETION LINK PREDICTION

Knowledge Graph Completion via Complex Tensor Factorization

22 Feb 2017Accenture/AmpliGraph

In statistical relational learning, knowledge graph completion deals with automatically understanding the structure of large knowledge graphs---labeled directed graphs---and predicting missing relationships---labeled edges.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION RELATIONAL REASONING

Complex Embeddings for Simple Link Prediction

20 Jun 2016Accenture/AmpliGraph

In statistical relational learning, the link prediction problem is key to automatically understand the structure of large knowledge bases.

LINK PREDICTION RELATIONAL REASONING

Holographic Embeddings of Knowledge Graphs

16 Oct 2015Accenture/AmpliGraph

Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs.

KNOWLEDGE GRAPHS LINK PREDICTION RELATIONAL REASONING

Translating Embeddings for Modeling Multi-relational Data

NeurIPS 2013 Accenture/AmpliGraph

We consider the problem of embedding entities and relationships of multi-relational data in low-dimensional vector spaces.

LINK PREDICTION

Graph Convolutional Matrix Completion

7 Jun 2017tkipf/gae

We consider matrix completion for recommender systems from the point of view of link prediction on graphs.

COLLABORATIVE FILTERING LINK PREDICTION MATRIX COMPLETION