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Search results for graph embedding node classification

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14 search results found

Cogdl ⭐ 1,671

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Seal Ci ⭐ 206

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

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

Walklets ⭐ 96

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

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

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

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

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Walk Transformer ⭐ 24

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)

Graph Embedding Techniques ⭐ 11

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

Force2vec ⭐ 6

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

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1-14 of 14 search results

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