Relational Reasoning

80 papers with code • 1 benchmarks • 9 datasets

The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents.

Source: Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

Greatest papers with code

Fast Graph Representation Learning with PyTorch Geometric

rusty1s/pytorch_geometric 6 Mar 2019

We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point clouds and manifolds, built upon PyTorch.

Graph Classification Graph Representation Learning +2

Relational inductive biases, deep learning, and graph networks

deepmind/graph_nets 4 Jun 2018

As a companion to this paper, we have released an open-source software library for building graph networks, with demonstrations of how to use them in practice.

Decision Making Relational Reasoning

Complex Embeddings for Simple Link Prediction

stellargraph/stellargraph 20 Jun 2016

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

Link Prediction Relational Reasoning

Knowledge Graph Completion via Complex Tensor Factorization

Accenture/AmpliGraph 22 Feb 2017

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 +1

Holographic Embeddings of Knowledge Graphs

Accenture/AmpliGraph 16 Oct 2015

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 +1

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

open-mmlab/mmocr CVPR 2020

In this paper, we propose a novel unified relational reasoning graph network for arbitrary shape text detection.

graph construction Relational Reasoning

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

shaoxiongji/awesome-knowledge-graph 2 Feb 2020

In this survey, we provide a comprehensive review of knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal knowledge graph, and 4) knowledge-aware applications, and summarize recent breakthroughs and perspective directions to facilitate future research.

Knowledge Graph Completion Knowledge Graph Embedding +1

Recurrent Relational Networks for complex relational reasoning

Kyubyong/sudoku ICLR 2018

Humans possess an ability to abstractly reason about objects and their interactions, an ability not shared with state-of-the-art deep learning models.

Relational Reasoning

Recurrent Relational Networks

Kyubyong/sudoku NeurIPS 2018

We achieve state of the art results on the bAbI textual question-answering dataset with the recurrent relational network, consistently solving 20/20 tasks.

Ranked #3 on Question Answering on bAbi (Mean Error Rate metric)

Question Answering Relational Reasoning