Code for the paper "Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization" SIGIR 2020
[ICLR 2019] Learning to Infer and Execute 3D Shape Programs
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for the paper "Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Genera...
StellarGraph - Machine Learning on Graphs
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged...
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
Source code for the paper: "Neural Methods for Logical Reasoning over Knowledge Graphs"
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
Gluon CV Toolkit
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) bas...
Platform for designing and evaluating Graph Neural Networks (GNN)