graph-mining topic
gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
PracticalMachineLearning
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We al...
RolX
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
pyrwr
Python Implementation for Random Walk with Restart (RWR)
GraMi
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as...
awesome-graph-representation-learning
A curated list of awesome graph representation learning.
ReadingList
Papers on Graph Analytics, Mining, and Learning
SelfTask-GNN
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).