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Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Created
2020-05-27
259 commits to master branch, last one about a year ago
A pytorch adversarial library for attack and defense methods on images and graphs
Created
2019-09-21
856 commits to master branch, last one 6 months ago
Papers about graph transformers.
Created
2021-09-10
48 commits to main branch, last one 10 months ago
Papers about explainability of GNNs
Created
2021-11-01
303 commits to main branch, last one 9 days ago
A scikit-learn compatible library for graph kernels
Created
2017-10-31
952 commits to master branch, last one 3 months ago
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...
Created
2021-11-23
174 commits to main branch, last one 2 years ago
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Created
2020-05-20
32 commits to master branch, last one about a year ago
Distributed Temporal Graph Analytics with Apache Flink
Created
2014-11-07
1,228 commits to develop branch, last one 2 months ago
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Created
2018-06-03
14 commits to master branch, last one 2 years ago
Papers about out-of-distribution generalization on graphs.
Created
2022-10-06
3 commits to master branch, last one 2 years ago
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
Created
2020-06-07
170 commits to master branch, last one 2 years ago
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Created
2019-02-13
10 commits to master branch, last one 3 years ago
Papers on Graph Analytics, Mining, and Learning
graph
random-walk
graph-mining
graph-theory
graph-querying
graph-sampling
graph-analytics
graph-databases
graph-algorithms
graph-clustering
graph-coarsening
graph-partitioning
parallel-computing
graph-pattern-mining
graph-neural-networks
hardware-accelerators
graph-machine-learning
graph-pattern-matching
Created
2020-04-15
99 commits to master branch, last one 2 years ago
Python Implementation for Random Walk with Restart (RWR)
Created
2018-07-07
71 commits to master branch, last one 2 years ago
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...
Created
2014-03-12
14 commits to master branch, last one 6 years ago
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Created
2018-08-09
97 commits to master branch, last one about a year ago
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
Created
2020-06-17
9 commits to master branch, last one 4 years ago
A collection of open-source and free machine learning resources
Created
2017-11-11
681 commits to master branch, last one 3 months ago
This repository has no description...
Created
2022-10-15
34 commits to main branch, last one 2 months ago
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Created
2018-05-29
68 commits to master branch, last one 2 years ago
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Created
2020-11-15
6 commits to main branch, last one 3 years ago
:family: Social Network Analysis Papers
Created
2018-09-30
17 commits to master branch, last one 2 years ago
gBolt--very fast implementation for gSpan algorithm in data mining
Created
2014-11-30
169 commits to master branch, last one 3 years ago