How Powerful are Graph Neural Networks?
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Jul 1, 2021 - Python
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graph-convolutional-neural-networks
Here are 20 public repositories matching this topic...
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
deep-learning tensorflow transformers cnn transformer lstm gru rnn densenet resnet eeg-data one-shot-learning attention-mechanism motor-imagery-classification residual-learning fully-convolutional-networks gcn eeg-classification eeg-signals-processing graph-convolutional-neural-networks
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Jul 20, 2025 - Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
machine-learning deep-neural-networks research deep-learning pagerank pytorch deepwalk attention network-embedding gcn iclr node2vec graph-embedding graph-classification node-embedding graph-attention graph-convolutional-neural-networks graph-neural-network ppnp appnp
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Nov 6, 2022 - Python
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
graph point-cloud convolutional-neural-networks graph-convolutional-networks gcn pointcloud gcnn graph-convolutional-network graph-cnn 3d-classification graph-convolutional-neural-networks
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Sep 19, 2018 - Python
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks
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Sep 8, 2019 - Python
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
dataset dataset-generation affective-computing graph-convolutional-networks emotion-detection emotion-recognition variational-autoencoder gait conditional-vae gait-analysis gait-recognition graph-convolutional-neural-networks conditional-variational-autoencoder spatial-temporal-action-detection emotion-perception
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Dec 8, 2022 - Python
Deep learning for molecules quantum chemistry properties prediction
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Apr 14, 2021 - Python
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
convolutional-neural-networks self-similarity interpretability icml graph-embeddings scale-free-networks graph-neural-networks graph-networks graph-convolutional-neural-networks icml-2019
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Aug 24, 2021 - Python
Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.
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Nov 18, 2021 - Python
Node Classification with Graph Neural Networks
node-classification graph-neural-networks centrality-measures graph-convolutional-neural-networks gnn feedforward-neural-networks
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Jan 27, 2022 - Jupyter Notebook
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
combinatorics heuristics greedy-algorithms steiner-tree connected-dominating-set distributed-algorithms graph-convolutional-networks steiner-tree-problem combinatorial-optimization approximation-algorithms distributed-algorithm deterministic-policy-gradients twin-networks graph-neural-networks minimum-weighted-dominating-set graph-convolutional-neural-networks maximum-weighted-independent-set node-weighted-steiner-tree moser-tardos-algorithm twin-based-critic
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Mar 8, 2024 - Jupyter Notebook
A deep learning library to rank protein complexes using graph neural networks
pytorch neural-networks protein-interaction graph-neural-networks graph-convolutional-neural-networks graph-attention-network protein-interaction-ranking
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Aug 26, 2020 - Python
deep-learning keras-tensorflow gcn cora-dataset graph-convolutional-neural-networks node-embeddings stellargraph-library
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Jul 19, 2021 - Jupyter Notebook
A deep learning library for graph data structures
deep-learning neural-networks graph-attention-networks graph-neural-networks graph-convolutional-neural-networks
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Jun 5, 2020 - Python
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Jul 28, 2021 - Jupyter Notebook
LCAONet - MPNN including electronic structure and orbital information, physically motivatied by the LCAO method.
machine-learning deep-learning pytorch materials-informatics graph-neural-networks graph-convolutional-neural-networks machine-learning-interatomic-potential
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Nov 8, 2023 - Python
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
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Dec 31, 2019 - Python
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.
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Jul 27, 2023 - Jupyter Notebook
Multi‑label vertex classification on a protein‑protein interaction network generating a powerful embedding of its graph - @ Oracle Labs, Politecnico di Milano
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Jul 21, 2021 - Jupyter Notebook
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