This project is a scalable unified framework for deep graph clustering.
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Updated
May 13, 2024 - Python
This project is a scalable unified framework for deep graph clustering.
The repository contains a reading list for action recognition.
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
LCAONet - MPNN including electronic structure and orbital information, physically motivatied by the LCAO method.
This project focuses on sign language recognition, using WLASL dataset for training models—one with CNN and the other with TGCN. The goal is to improve communication between the deaf and hearing communities, with potential applications in assistive technologies, education, and human-computer interaction.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Node Classification with Graph Neural Networks
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)
Multi‑label vertex classification on a protein‑protein interaction network generating a powerful embedding of its graph - @ Oracle Labs, Politecnico di Milano
How Powerful are Graph Neural Networks?
Deep learning for molecules quantum chemistry properties prediction
A deep learning library to rank protein complexes using graph neural networks
A deep learning library for graph data structures
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
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