GNNs-For-Chemists
importedtherapeutics/gnns-for-chemists
Implementations of different GNNs from scratch for chemists
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/HFooladi/GNNs-For-Chemists
- Documentation
- unknown
- Tags
- cheminformatics · computational-chemistry · gnn · graph-neural-network · message-passing
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- scDeepSortgnn · graph-neural-network
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
- scDeepSort_performance_comparisongnn · graph-neural-network
The source code and results for different methods on annotating external testing datsets of human and mouse.
- stagingnn · graph-neural-network
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
- Graphsitecheminformatics · graph-neural-network
Generate graph representations of protein binding sites.
- graphB3cheminformatics · gnn
The Blood-Brain Barrier (BBB) is a highly specialized vascular structure that plays a crucial role in maintaining Central Nervous System (CNS) homeostasis.
- PDNcheminformatics · gnn
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
- api.github.com/repos/HFooladi/GNNs-For-Chemistsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-14, 175 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/44.json→ .entries["gnns-for-chemists"]
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