graph-convolutional-networks topic

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

kyzhouhzau

A pytorch adversarial library for attack and defense methods on images and graphs

DSE-MSU

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

Cartus

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

malllabiisc

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

malllabiisc

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Mariewelt

图卷积神经网络 Graph Convolutional Network with Keras

zhouchunpong

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

maggie0106

Deep functional residue identification

flatironinstitute

links to conference publications in graph-based deep learning

naganandy