graph-transformer

There are 11 repositories under graph-transformer topic.

graphtransformer
graphdeeplearning / graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
graph-transformer transformers transformer attention graph-neural-networks graph-deep-learning aaai transformer-networks
Language:Python 817
wehos / awesome-graph-transformer
Papers about graph transformers.
deep-learning graph-mining graph-neural-networks graph-transformer machine-learning transformer transformers
637
daiquocnguyen / Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
graph-representation-learning graph-classification graph-neural-networks node-embeddings graph-embeddings graph-transformer self-attention transformer graph-machine-learning text-classification transformer-models graph-deep-learning
Language:Python 623
rampasek / GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
graph-neural-network graph-representation-learning graph-transformer long-range-dependence
Language:Python 600
qitianwu / DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
attention diffusion diffusion-equation geometric-deep-learning graph-neural-networks graph-transformer iclr2023 image-classification large-graph node-classification pytorch pytorch-geometric pytorch-geometric-temporal spatial-temporal-forecasting text-classification transformer
Language:Python 273
qitianwu / NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
graph-neural-networks graph-structure-learning graph-transformer node-classification pytorch image-classification large-graph neurips-2022 pytorch-geometric relational-learning text-classification
Language:Jupyter Notebook 266
gnn-lspe
vijaydwivedi75 / gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
graph-neural-networks transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention graphs molecules gnn-lspe lspe graph-representation-learning geometric-deep-learning representation-learning gnn message-passing
Language:Python 224
BorgwardtLab / SAT
Official Pytorch code for Structure-Aware Transformer.
graph-neural-networks graph-representation-learning graph-transformer icml-2022
Language:Python 223
Transformer-M
lsj2408 / Transformer-M
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
general-purpose-molecular-model graph-neural-network graph-transformer molecular-modeling molecule transformer
Language:Python 192
jcyk / gtos
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
graph-transformer amr machine-translation graph-neural-networks
Language:Python 191
XuhanLiu / DrugEx
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
deep-learning multi-objective-optimization graph-transformer reinforcement-learning cheminformatics
Language:Python 183
BUAABIGSCity / PDFormer
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
aaai2023 multivariate-time-series-prediction spatio-temporal-prediction traffic-flow-prediction traffic-prediction transformer dtw kshape graph-transformer self-attention
Language:Python 172
lrgb
vijaydwivedi75 / lrgb
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
graph-benchmark graph-datasets graph-neural-networks graph-representation-learning graph-transformer long-range long-range-dependence
Language:Jupyter Notebook 139
JinheonBaek / GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
graph graph-classification graph-multiset-pooling graph-multiset-transformer graph-neural-networks graph-pooling graph-reconstruction graph-representation graph-representation-learning graph-transformer pytorch
Language:Python 95
cptq / SignNet-BasisNet
SignNet and BasisNet
deep-learning graph-neural-networks machine-learning graph graph-convolutional-networks graph-machine-learning graph-transformer transformer-models
Language:Python 88
luis-mueller / probing-graph-transformers
Code for our paper "Attending to Graph Transformers"
graph-neural-network graph-transformer over-squashing transformer
Language:Python 69
LMissher / STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
graph-attention-networks graph-neural-networks graph-transformer graph-wavelets icde2023 intelligent-transportation-systems spatio-temporal time-series-forecasting traffic-forcasting traffic-forecasting urban-computing wavelet-transform
Language:Python 60
HKUDS / GFormer
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
collaborative-filtering graph-neural-networks graph-representation-learning graph-transformer recommender-systems
Language:Python 46
sail-sg / VGT
Video Graph Transformer for Video Question Answering (ECCV'22)
graph-transformer temporal-dynamics video-language-understanding video-question-answering videoqa
Language:Python 43
Awesome-Graph-Research-ICLR2024
azminewasi / Awesome-Graph-Research-ICLR2024
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
awesome awesome-list awesome-lists gnn grap-clustering graph graph-algorithms graph-neural-network graph-neural-networks iclr iclr2024 artificial-intelligence deep-learning deep-neural-networks equivariant-network graph-transformer machine-learning semisupervised-learning supervised-learning
39
GRAPH-0 / RGTN-NIE
Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation
dgl-graph graph-transformer
Language:Python 32
jw9730 / lps
[NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
equivariance graph pytorch transformer vision-transformer gnn graph-transformer
Language:Python 26
willyfh / graph-transformer
An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021
deep-learning gnn graph-deep-learning graph-neural-networks graph-transformer neural-networks pytorch
Language:Python 24
shamim-hussain / tgt
Triplet Graph Transformer
graph-neural-networks graph-transformer molecular-graphs transformer
Language:Python 20
BorgwardtLab / PST
Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge
evolutionary-scale-modeling graph-transformer protein-representation-learning protein-structure
Language:Python 19
sorrowyn / MGTN
2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN
aaai graph-transformer multi-label-image transformer
Language:Python 19
cornell-zhang / HOGA
Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
distributed-training electronic-design-automation graph-learning graph-transformer logic-synthesis
Language:Python 18
NSLab-CUK / Unified-Graph-Transformer
Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.
graph graph-neural-networks graph-representation-learning graph-transformer transformers structure-preserving-graph-transformer
Language:Python 17
uoo723 / PMGT
Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"
deep-learning graph-transformer machine-learning multi-modal-learning python pytorch recommendation
Language:Python 16
minjiyoon / CGT
Scalable and privacy-enhanced graph generative models for benchmark graph neural networks
graph-generative-models graph-neural-networks graph-transformer
Language:Python 13
HySonLab / Multires-Graph-Transformer
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
density-functional-theory graph-neural-networks graph-transformer positional-encoding wavelet-transform
Language:Python 12
MANDO-Project / ge-sc-transformer
MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts heterogeneous graph transformers with customized meta relations for graph nodes and edges to learn their embeddings and train classifiers for detecting various vulnerability types in the contracts' nodes and graphs.
bytecode deep-learning graph-transformer heterogeneous-graph-learning machine-learning pytorch smart-contracts source-code vulnerability-detection
Language:Solidity 12
ansonb / FeTA_TMLR
This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
graph-representation-learning graph-transformer spectral-graph-theory
Language:Python 10
qslim / PDF
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
graph-convolutional-networks graph-neural-networks graph-representation-learning graph-transformer
Language:Python 10
NSLab-CUK / Community-aware-Graph-Transformer
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
graph-algorithms graph-neural-networks graph-theory graph-transformer graphs graph-representation-learning transformer node-classification
Language:Python 9
NSLab-CUK / Graph-Neural-Networks-Fall-2023
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
graph-neural-networks graph-learning graph-representation-learning graph-transformer
Language:Jupyter Notebook 9