[CVPR 2025] "Towards Universal Soccer Video Understanding".

Repository containing all necessary codes to get started on the SoccerNet Action Spotting challenge. This repository also contains several benchmark methods.

Football players tracking with YOLOv8 and ByteTrack

computer vision and sports

Source material for Python Like You Mean it

An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)

Scientific Large Language Models: A Survey on Biological & Chemical Domains

A Unified Python Library for Graph Prompting

Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

Awesome Protein Representation Learning

A curated, but incomplete, list of data-centric AI resources.

An official PyTorch implementation of "Unnoticeable Backdoor Attack on Graph Neural Networks" (WWW 2023)

This repository contains the resources on graph neural network (GNN) considering heterophily.

Google Scholar Network Work and Dashboard

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

An official PyTorch implementation of "Label-Wise Graph Convolutional Network for Heterophilic Graphs" (LOG 2022)

Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).

The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".