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Relational Reasoning

31 papers with code · Natural Language Processing

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Fast Graph Representation Learning with PyTorch Geometric

6 Mar 2019rusty1s/pytorch_geometric

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 NODE CLASSIFICATION RELATIONAL REASONING

Relational inductive biases, deep learning, and graph networks

4 Jun 2018deepmind/graph_nets

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

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

Recurrent Relational Networks

NeurIPS 2018 Kyubyong/sudoku

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

#2 best model for Question Answering on bAbi (Mean Error Rate metric)

QUESTION ANSWERING RELATIONAL REASONING

Temporal Relational Reasoning in Videos

ECCV 2018 metalbubble/TRN-pytorch

Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS COMMON SENSE REASONING HUMAN-OBJECT INTERACTION DETECTION RELATIONAL REASONING

A simple neural network module for relational reasoning

NeurIPS 2017 gitlimlab/Relation-Network-Tensorflow

Relational reasoning is a central component of generally intelligent behavior, but has proven difficult for neural networks to learn.

QUESTION ANSWERING RELATIONAL REASONING VISUAL QUESTION ANSWERING

Relational recurrent neural networks

NeurIPS 2018 L0SG/relational-rnn-pytorch

Memory-based neural networks model temporal data by leveraging an ability to remember information for long periods.

LANGUAGE MODELLING RELATIONAL REASONING

One-Shot Relational Learning for Knowledge Graphs

EMNLP 2018 xwhan/One-shot-Relational-Learning

Knowledge graphs (KGs) are the key components of various natural language processing applications.

KNOWLEDGE GRAPH COMPLETION RELATIONAL REASONING