Pinned Repositories
egt_pytorch
Edge-Augmented Graph Transformer
GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
Graphormer-GD
[ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
GRPE
Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
ogb-lsc-pcqm4mv2
The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured data
tokengt
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Transformer-M
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
tgt
Triplet Graph Transformer
gxglxy's Repositories
gxglxy/egt_pytorch
Edge-Augmented Graph Transformer
gxglxy/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
gxglxy/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
gxglxy/Graphormer-GD
[ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
gxglxy/GRPE
Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
gxglxy/ogb-lsc-pcqm4mv2
The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured data
gxglxy/tokengt
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
gxglxy/Transformer-M
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)