EulerA distributed graph deep learning framework.
NrlpapersMust-read papers on network representation learning (NRL) / network embedding (NE)
OpenneAn Open-Source Package for Network Embedding (NE)
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
NetEmb-DatasetsA collection of real-world networks/graphs for Network Embedding
TADWNetwork Representation Learning with Rich Text Information (IJCAI 2015)
CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
HEEREasing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
RHINESource code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
FEATHERThe reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
TriDNRTri-Party Deep Network Representation, IJCAI-16
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
TransNetSource code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".
OpenANEOpenANE: 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
MixGCFMixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
GNEThis repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"