zyzisastudyreallyhardguy's repositories
Graph-Group-Discrimination
Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"
GOAL-Graph-Complementary-Learning
The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"
Awesome-Large-Language-Models-for-Science
Latest Papers on Large Language Models for Science
Unimelb-ACDS-project
Full-stack project of Vue (frontend) + Spring Boot (backend)
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
JacobiConv
How Powerful are Spectral Graph Neural Networks
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
SLAPS-GNN
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"