Jiying Zhang's repositories
GTOT-Tuning
Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
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).
CCA-SSG
Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
deq
[NeurIPS'19] Deep Equilibrium Models
GeoDiff
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
graph-generation-EDGE
ICML23-EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Graph-Optimal-Transport
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
GraphLoG
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
GraphMVP
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
L2P-GNN
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
lihang-code
《统计学习方法》的代码实现
magnet
MagNet graph convolutional network
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
Time-Series-Library
A Library for Advanced Deep Time Series Models.
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
Uni-Mol
Official Repository for the Uni-Mol Series Methods
youjibiying.github.io
The homepage of Jiying Zhang