Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).
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Updated
May 12, 2024 - Python
Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).
A list of awesome GNN systems.
autoupdate paper list
Python infrastructure to train paths selectors for symbolic execution engines.
An easy-to-use and modular Python library for the Job Shop Scheduling Problem (JSSP)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyGDA is a Python library for Graph Domain Adaptation.
Papers about explainability of GNNs
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Master's Thesis - Evaluating Reliability of Static Analysis Results Using Machine Learning
Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.
hypergraph representation learning, graph neural network
PyHGF: A neural network library for predictive coding
Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Graph Neural Network Library for PyTorch
Molecular graph deep sets learning for mixture property modeling.
DANCE: a deep learning library and benchmark platform for single-cell analysis
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
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