Graph Transformers Transformer Models

Tools and architectures that combine transformer mechanisms with graph neural networks for structured data. Includes graph attention, graph tokenization, and transformer-based models for molecular, biological, and relational graph data. Does NOT include general transformers, standard GNNs without transformer components, or domain-specific applications using transformers on non-graph data.

There are 24 graph transformers models tracked. The highest-rated is graphdeeplearning/graphtransformer at 48/100 with 1,019 stars.

Get all 24 projects as JSON

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#	Model	Score	Tier	Stars	Language
1	graphdeeplearning/graphtransformer Graph Transformer Architecture. Source code for "A Generalization of...	48	Emerging	1,019	Python
2	vijaydwivedi75/gnn-lspe Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural...	44	Emerging	267	Python
3	snap-stanford/relgt Relational Graph Transformer	43	Emerging	65	Python
4	SamsungSAILMontreal/nino Code for "Accelerating Training with Neuron Interaction and Nowcasting...	43	Emerging	28	Python
5	SamsungSAILMontreal/ghn3 Code for "Can We Scale Transformers to Predict Parameters of Diverse...	40	Emerging	39	Shell
6	chaitjo/gated-graph-transformers Transformers are Graph Neural Networks!	36	Emerging	54	Python
7	wehos/awesome-graph-transformer Papers about graph transformers.	35	Emerging	919	—
8	omron-sinicx/crystalframer The official code respository for "Rethinking the role of frames for...	35	Emerging	15	Python
9	mkofinas/neural-graphs Official source code for "Graph Neural Networks for Learning Equivariant...	33	Emerging	82	Python
10	NSLab-CUK/Unified-Graph-Transformer Unified Graph Transformer (UGT) is a novel Graph Transformer model...	32	Emerging	28	Python
11	krnel-ai/krnel-graph Lightweight representation engineering dataflow operations for agent developers.	29	Experimental	22	Python
12	omron-sinicx/crystalformer The official code respository for "Crystalformer: Infinitely Connected...	26	Experimental	27	Python
13	shizhouxing/Robustness-Verification-for-Transformers [ICLR 2020] Code for paper "Robustness Verification for Transformers"	26	Experimental	27	Python
14	finxlab/hgait Official implementation of HGAIT: Heterogeneous Graph Attention with...	24	Experimental	1	Python
15	KevinBian107/MOSAIC Motif-preserving Graph Tokenization for Biological Structure Generation...	23	Experimental	1	Python
16	Guest400123064/ezgatr Geometric Algebra Transformer Made Easy	22	Experimental	17	Python
17	HROlive/Advanced-Deep-Learning-with-Transformers Workshop that will take you from Graph Neural Networks (GNNs) to...	20	Experimental	13	Jupyter Notebook
18	Bradley-Buchner/worm_synergy SynergyGT is a graph-based transformer model that integrates gene regulatory...	19	Experimental	—	Jupyter Notebook
19	Curtis-Wu/Equivariant-Graph-Transformer A deep neural network with hybrid architecture (EGNN + Transformer) for...	18	Experimental	23	Jupyter Notebook
20	koc-lab/graph-teacher The repository for the "GraphTeacher: Transductive Fine-Tuning of Encoders...	16	Experimental	1	Python
21	ruokokoski/metabolic-NN A development of metabolic neural networks for microorganisms	16	Experimental	—	Jupyter Notebook
22	3springs/transformer-domains using transformers to predict domain names	12	Experimental	3	Python
23	kevinbdsouza/GraphTransHiC A Graph Transformer that creates hierarchal representations of HiC.	12	Experimental	1	Python
24	icon-lab/GraphCorr Official implementation of GraphCorr: A graph transformer plug-in module for...	11	Experimental	—	Python