links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
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links to conference publications in graph-based deep learning
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Resources of Neural Rendering
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Header-Only C++ Library for Graph Representation and Algorithms
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
A list of resources about deep learning solutions on 3D shape processing
The PASS dataset: pretrained models and how to get the data
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.