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graph-convolution

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pytorch_geometric_temporal

benedekrozemberczki / pytorch_geometric_temporal

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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs
  • Updated Oct 14, 2024
  • Python
MixHop-and-N-GCN

benedekrozemberczki / MixHop-and-N-GCN

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Star 402

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

machine-learning deep-learning tensorflow pytorch deepwalk convolutional-layers convolutional-neural-networks ngcn convolutional gcn node2vec pytorch-cnn graph-attention-networks multi-scale graph-representation-learning walklet graph-convolution graph-attention walklets mixhop
  • Updated Nov 6, 2022
  • Python
SEAL-CI

benedekrozemberczki / SEAL-CI

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A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network
  • Updated Nov 6, 2022
  • Python
walklets

benedekrozemberczki / walklets

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A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution
  • Updated Mar 18, 2023
  • Python
TENE

benedekrozemberczki / TENE

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Star 73

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

machine-learning deep-learning tensorflow pytorch deepwalk matrix-factorization feature-extraction pattern-recognition network-embedding node2vec graph-embedding node-classification node-embedding implicit-factorization tadw attributed-embedding asne graph-convolution graph-neural-network matrix-decomposition
  • Updated Sep 19, 2022
  • Python
FEATHER

benedekrozemberczki / FEATHER

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Star 46

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

machine-learning data-mining deep-neural-networks deep-learning neural-network graph tensorflow pytorch deepwalk networkx representation-learning network-embedding graph-kernel node2vec graph-embedding graph-classification node-classification graph2vec node-embedding graph-convolution
  • Updated Mar 18, 2023
  • Python

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