Lists (7)
Starred repositories
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A list of recent papers about Link Prediction.
AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai
The repository hosting example notebooks for 2024 CZII cryoET machine learning challenge
The learning routes of MIL (categorized, key paper listed, continuously updated)
Repository for the Kaggle competition "CZII - CryoET Object Identification"
Bag of Tricks for Graph Neural Networks.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
Benchmark datasets, data loaders, and evaluators for graph machine learning
This repository periodicly updates the MTL paper and resources
Graph Neural Networks for Tabular Data Learning (GNN4TDL)
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
Methods and Implements of Deep Clustering
A record of the analysis pipelines used to create the HTAPP data
Deep and conventional community detection related papers, implementations, datasets, and tools.
torchange - A Unified Change Representation Learning Benchmark Library
This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph r…
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Library for managing, storage, viewing, and working with spatial transcriptomics data using Imglib2, N5, BigDataViewer and Fiji.