Niran Deng's repositories
-competition-baseline
人脸年龄识别baseline
DCRS
DCRS: Encoding Node Diffusion Competence and Role Significance for Network Dismantling
DismantlingCommunity
Python code for dismantling network using a community based approach
information-diffusion-boundaries-in-code-review
Replication package for "Upper Bound of Information Diffusion in Code Review"
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
HGSR
Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation
mec_drl
Deep reinforcement learning for mobile edge computing
Metaheuristic-Flower_Pollination_Algorithm
Flower Pollination Algorithm to Minimize Functions with Continuous Variables
Modeling_complex_networks
Modeling complex networks: An implementation based on Python+NetworkX
multiplex-plot
Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.
Multivariate-multi-step-time-series-forecasting-via-LSTM
多元多步时间序列的LSTM模型预测——基于Keras
NEES
Neural extraction of multiscale essential structure for network dismantling
Network_Dismantling
Network Dismantling Project
NIRM
NIRM: Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
NNESF
Official implementation of Elementary Subgraph Features for Link Prediction with Neural Networks
OpenGraph
"OpenGraph: Towards Open Graph Foundation Models"
Poems-Generator
Poems Generator
RaidB
The code implementation for the paper: Rearranging 'indivisible' blocks for community detection
review
Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni, Matjaž Perc and Filippo Radicchi, published at Nature Review Physics (2024). https://doi.org/10.1038/s42254-023-00676-y
SiGAT
source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
SimT
[CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
Timeseries
Timeseries for everyone
vision
Datasets, Transforms and Models specific to Computer Vision