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dagformer

The repository implements the Transformer over Directed Acyclic Graph (DAG transformer) in Pytorch Geometric.

dagnn

A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

geneticflow

GeneticFlow: Graph Signatures for Scholar Impact Evaluation using Self-Citations

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.

graphtrans

Representing Long-Range Context for Graph Neural Networks with Global Attention

hcse

hdse

The repository implements the Enhancing Graph Transformers with Hierarchical Distance Structural Encoding.

images

images

luoyk1999.github.io

mobilityinference

molecular-homology

molformer

nimo-markdown-cv

Maintain your CV in Markdown :sparkles:

nodeid

The repository implements the Structure-aware Semantic Node Identifiers for Learning on Graphs.

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

phd-crawler

A crawler script for finding someone Ph.D. students

sat

Official Pytorch code for Structure-Aware Transformer.

transformer-m

One Transformer Can Understand Both 2D & 3D Molecular Data

tunedgnn

The repository implements the Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification