academic_kickstart

My personal Site

amtae

Protein function prediction with Attentive Multimodal Tied Autoencoder

arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

asp2vec

Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)

bayesian-learning-of-neural-network-architectures

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian-rrs-models

This Repository contains some of the Bayesian Non Parametric Models Based on variational inference using Russian Roulette Sampling Method of approximating an infinite sum.

bbdrop

Anonymous repository for ``Adaptive network sparsification with dependent variational beta-Bernoulli dropout"

bbgcn-lp

Beta Bernoulli Process based Graph Convolutional Network for Link Prediction

bionetembedding

PyTorch Implementation of Biological Network Embedding.

blog

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

code-deep-multiview-information-bottleneck

Source code for paper Deep Multi-view Information Bottleneck

data-science--cheat-sheet

Cheat Sheets

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

data-science-question-answer

A repo for data science related questions and answers

deepnf

Deep Network Fusion (deepNF)

depth_and_dropout

Joint Inference for Neural Network Depth and Dropout Regularization

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

elgrapho

findcandidates

floyd-warshall-algorithm-openmp

A parallel implementation of Floyd–Warshall algorithm to solve All pairs shortest path problem

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

gdc

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

gne

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

gne_results

gnn-model-explainer

gnn explainer

gnnpapers

Must-read papers on graph neural networks (GNN)