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About Awesome things towards foundation agents. Papers / Repos / Blogs / ...
Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
Official implementation of Graph Neural Networks as Gradient Flows.
A collection of AWESOME things about Graph-Related LLMs.
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
Accompanied repositories for our paper Graph foundation model
GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
"PhD-Level AI Agents: Fully-Automated Scientific Discovery with Our AI-Researcher Powered by LLMs"
Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)
Library to implement graph neural networks in PyTorch
ICLR 2025 publication “Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking From a Spectral Perspective”.
GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.
Fully open reproduction of DeepSeek-R1
Implementation of GraphKan with torch geometrics and its application on signal classification
This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
NeurIPS 2024: RAGraph: A General Retrieval-Augmented Graph Learning Framework
[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
A platform for developers to simulate collaborative research activities