Pinned Repositories
2019-GraphNeuralNetworksPaperList
Graph Neural Networks Paper List of 2019 Conferences
adgcl
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome_deep_learning_interpretability
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)
dpss-exp3-VC-PPG
Voice Conversion Experiments for THUHCSI Course : <Digital Processing of Speech Signals>
GTOT-Tuning
Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
H-GNNs
Source code of ICML22 workshop paper "Hypergraph Convolutional Networks via Equivalency Between Hypergraphs and Undirected Graphs"
HERALD
Source code of ICASSP22 papaer: Learnable Hypergraph Laplacian for Hypergraph Learning
HNHN-1
Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
HyperGAT
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
youjibiying's Repositories
youjibiying/GTOT-Tuning
Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
youjibiying/H-GNNs
Source code of ICML22 workshop paper "Hypergraph Convolutional Networks via Equivalency Between Hypergraphs and Undirected Graphs"
youjibiying/HERALD
Source code of ICASSP22 papaer: Learnable Hypergraph Laplacian for Hypergraph Learning
youjibiying/HNHN-1
Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
youjibiying/adgcl
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
youjibiying/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
youjibiying/CCA-SSG
Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
youjibiying/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
youjibiying/deq
[NeurIPS'19] Deep Equilibrium Models
youjibiying/GeoDiff
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
youjibiying/graph-generation-EDGE
ICML23-EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
youjibiying/Graph-Optimal-Transport
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
youjibiying/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
youjibiying/GraphLoG
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
youjibiying/GraphMVP
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
youjibiying/Hyper-Pooling
youjibiying/Hyper-SAGNN
youjibiying/HyperGCN
youjibiying/jiying-zhang.github.io
youjibiying/L2P-GNN
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
youjibiying/lihang-code
《统计学习方法》的代码实现
youjibiying/magnet
MagNet graph convolutional network
youjibiying/module-shop
一个基于 .NET 8.0 构建的简单、跨平台、模块化的商城系统
youjibiying/NWR-GAE
youjibiying/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
youjibiying/Time-Series-Library
A Library for Advanced Deep Time Series Models.
youjibiying/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
youjibiying/tudataset
youjibiying/Uni-Mol
Official Repository for the Uni-Mol Series Methods
youjibiying/youjibiying.github.io
The homepage of Jiying Zhang