youjibiying

SubgDiff

The official implementation of NeurIPS2024 paper "SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning."

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).

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/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/HyperGCN

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/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