Graph-level Representation Learning with Joint-Embedding Predictive Architectures

This repository contains my research internship code at the University of Illinois Chicago under the supervision of Prof. Pedram Rooshenas.

This repository contains the implementations of our experiments and our approach presented in the paper: CoNCRA: A Convolutional Neural Network Code Retrieval Approach

A simple and efficient implementation of Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (I-JEPA)

Demo for Binding Text, Images, Graphs, and Audio for Music Representation Learning

Code and Models for Binding Text, Images, Graphs, and Audio for Music Representation Learning