Various GNN implementation using DGL library
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Updated
Mar 8, 2020 - Python
Various GNN implementation using DGL library
8th place solution to https://www.automl.ai/competitions/3
6th place solution to KDD CUP 2020 Graph Adversarial Attacks & Defense
📖 Tutorials and projects in Graph, Network and Complex System
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
Predict CS Paper's Subject Area Using Graph Neural Networks
A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
Senior Capstone Project: Graph-Based Product Recommendation
This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021
Implementation of Directional Graph Networks in PyTorch and DGL
A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
A graph based bug classifier using the dgl library and DeepBugs dataset
reference: DGL & RDKit | 基于Attentive FP可视化训练模型原子权重blog.csdn.net/u012325865/article/details/104868996
A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).
Supervised node classification using Graph Convolutional Network (GCN) in DGL.ai.
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
A DGL implementation of "KPConv: Flexible and Deformable Convolution for Point Clouds" (ICCV 2019).
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
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