Pinned Repositories
2023-Big-Data-Driven-Artificial-Intelligence
2024-Artificial-intelligence-for-complex-systems
AIDD
Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems
bnusss.github.io
Professor Zhang Jiang's research group main page. (fork from uwsampa/sampa-public)
bnusss_toolkit
Toolkit to help you do better research
Flow-Geometric-Embedding-Algorithm
The analytical and numerical flow distance on network.
flow_network_embedding
流网络嵌入——流距离词向量
GGN
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
Neural_Language_Correction
This is a chinese version of NLC model (forked from https://github.com/stanfordmlgroup/nlc)
rec_tools_lib
It's a lib for tools we use for reconstruction / data generation and common data.
BNUSSS's Repositories
bnusss/GGN
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
bnusss/2023-Big-Data-Driven-Artificial-Intelligence
bnusss/bnusss_toolkit
Toolkit to help you do better research
bnusss/2024-Artificial-intelligence-for-complex-systems
bnusss/bnusss.github.io
Professor Zhang Jiang's research group main page. (fork from uwsampa/sampa-public)
bnusss/AIDD
Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems
bnusss/rec_tools_lib
It's a lib for tools we use for reconstruction / data generation and common data.
bnusss/DPT
bnusss/inClust
bnusss/NGNC
Neural Gene Network Constructor: A Neural Based Model for Reconstructing Gene Regulatory Network
bnusss/cnc_2017
bnusss/Code-for-Finding-emergence-in-data-
Here is the code for experiments related to the NIS+ framework.
bnusss/DeepLinker
bnusss/GIN
seedgraphmatching(sgd) python
bnusss/NEDMP
PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022
bnusss/C-GIN
Completing Networks by Learning Local Connection Patterns
bnusss/DySAT_pytorch
Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
bnusss/ELE
A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020
bnusss/GeniePath-pytorch
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
bnusss/GSO
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
bnusss/how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
bnusss/inClust_plus
bnusss/MesoScaling
Understanding the mesoscopic scaling patterns within cities
bnusss/netIDRG
Code for the paper "Network Information Dynamics Renormalization Group"
bnusss/neural_pruning
bnusss/NIS_for_Causal_Emergence
bnusss/PM2.5-GNN
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
bnusss/scCaps
An interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell RNA-seq data
bnusss/SRGAN-PyTorch
this project is forked from https://github.com/ai-tor/PyTorch-SRGAN
bnusss/tn-for-unsup-ml