youjibiying Goto Github PK
Name: Jiying Zhang
Type: User
Bio: Master student at Tsinghua University.
Name: Jiying Zhang
Type: User
Bio: Master student at Tsinghua University.
Graph Neural Networks Paper List of 2019 Conferences
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Bilinear attention networks for visual question answering
Repository for benchmarking graph neural networks
Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
Data Shapley: Equitable Valuation of Data for Machine Learning
Implementation of Deep Graph Matching Consensus in PyTorch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
[NeurIPS'19] Deep Equilibrium Models
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)
Voice Conversion Experiments for THUHCSI Course : <Digital Processing of Speech Signals>
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
ICML23-EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
Pytorch implementation of Graph U-Nets (ICML19)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
Protein quality assessment using Graph Convolutional Networks
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.