Application of Graph Neural Networks to predict material properties from their microstructures.
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Updated
Jun 3, 2024 - Jupyter Notebook
Application of Graph Neural Networks to predict material properties from their microstructures.
Official implementation of DrugGEN
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
autoupdate paper list
Spatial-Linked Alignment Tool
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
The integration of HugeGraph with artificial intelligence
"OpenGraph: Towards Open Graph Foundation Models"
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
D<ee>p learning [dev library]
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning
ProxyExplainer for Graph Neural Networks
"RecDiff: Diffusion Model for Social Recommendation"
Machine learning on graphs
"GraphEdit: Large Language Models for Graph Structure Learning"
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A Python Library for Graph Outlier Detection (Anomaly Detection)
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