30 Open source projects that are alternatives of or similar to TriDNR

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

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

A distributed graph deep learning framework.

A collection of important graph embedding, classification and representation learning papers with implementations.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

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

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

Learning node representation using edge semantics

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

Graph Embedding via Frequent Subgraphs

Must-read papers on network representation learning (NRL) / network embedding (NE)

A curated list of network embedding techniques.

An Open-Source Package for Network Embedding (NE)

A collection of real-world networks/graphs for Network Embedding

Network Representation Learning with Rich Text Information (IJCAI 2015)

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"

Friends Recommendation and Link Prediction in Social Netowork

Profiling and Deanonymizing Ethereum Users

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

Minimum-distortion embedding with PyTorch

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

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