We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point clouds and manifolds, built upon PyTorch.
#2 best model for Graph Classification on REDDIT-B
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.
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.
#2 best model for Knowledge Graphs on FB15k
Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs.
#5 best model for Link Prediction on FB15k
We achieve state of the art results on the bAbI textual question-answering dataset with the recurrent relational network, consistently solving 20/20 tasks.
#3 best model for Question Answering on bAbi (Mean Error Rate metric)
Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species.
#2 best model for Hand Gesture Recognition on Jester test
Statistical relational learning methods can effectively model the dependency of object labels through conditional random fields for collective classification, whereas graph neural networks learn effective object representations for classification through end-to-end training.
SOTA for Object Classification on Cora