This repository contains implementation of Covariant Compositional Networks in Tensorflow 2 for replication study of the paper that introduced them originally.

Stratification of multi-label datasets

Social Network Analysis with the Facebook100 Dataset

Bayesian survival models for high-dimensional data

Deep Graph-Based Learning Coursework for generating the super-resolution brain graph at Imperial College London

Latent graphs (reward landscapes). Can humans learn them? How?

Our Topological Hyperparameter Evaluation Mapping Algorithm.

All codes of my master thesis conducted under computational learning theory

Node2Vec implementation using only pandas, numpy and gensim

Learn instance weight by reliability propagation on an adaptive graph

MyLectureNotes on Pascal Welke's lecture "Graph Representation Learning" (winter term 2021/2022)

Graph learning course materials

This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).

Repo for paper "Inductive detection of Influence Operations via Graph Learning"

Anshul Yadav's BTech Thesis

This repository is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. This repository implements inductive link prediction in criminal network analysis, focusing on finding links between new cases and existing nodes.

A professionally curated list of resources (paper, code, data, etc.) on 3D Skeleton Based Person Re-ID.

Related files with "cMaxDriver: A Centrality Maximization Intersection Approach for Prediction of Cancer-Causing Genes in the Transcriptional Regulatory Network" article!

BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)

An attempt at understanding conversations from a unified framework of sub-problems