• Stars
    star
    17
  • Rank 1,257,181 (Top 25 %)
  • Language
    Python
  • Created almost 5 years ago
  • Updated over 3 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

More Repositories

1

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Python
1,542
star
2

awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.
363
star
3

Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Python
278
star
4

GCond

[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
Python
115
star
5

SelfTask-GNN

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
Python
94
star
6

Movie-QA-System

基于知识图谱的电影问答系统。 This is a simple question answering and recommender system on movies (based on Knowledge Graph).
Python
67
star
7

awesome-graph-reduction

Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
61
star
8

SimP-GCN

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Python
57
star
9

GTrans

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Python
53
star
10

DeCorr

[KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
Python
42
star
11

AutoSSL

[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
Python
40
star
12

ChandlerBang.github.io

Personal website
CSS
1
star
13

Simple-SearchEngine

A simple search engine used for fulltext retrieval, implemented by Python.
Python
1
star