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11 search results found

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Graph Cnn In 3d Point Cloud Classification ⭐ 179

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

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A Unified Framework For Deep Attribute Graph Clustering ⭐ 53

This project is a scalable unified framework for deep graph clustering.

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Covolution_over_dependency_tree_emnlp2019 ⭐ 13

Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Deepmolenet ⭐ 6

Deep learning for molecules quantum chemistry properties prediction

Graph Neural Networks ⭐ 5

A deep learning library for graph data structures

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