An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021
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Updated
Apr 20, 2024 - Python
An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021
Graph Neural Networks with Keras and Tensorflow 2.
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)
Locally Private Graph Neural Networks (ACM CCS 2021)
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Repository for benchmarking graph neural networks
slientruss3d : Python for stable truss analysis and optimization tool
Source code and data of the paper entitled "iACP-GCR: Identifying multi-target anticancer compounds using multitask learning on graph convolutional residual neural networks"
Deep Learning with Graph Representation of Bio-Molecules to estimate physical Properties
A repo for baseline of graph pooling.
Non markovian extension to the graph edit network model proposed by Paassen et al.
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Antibiotic discovery using graph deep learning, with Chemprop.
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Final assignment of EE226 course in SJTU by Group 12
An attempt at demystifying graph deep learning
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
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