youjibiying

GTOT-Tuning

Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"

dpss-exp3-VC-PPG

Voice Conversion Experiments for THUHCSI Course : <Digital Processing of Speech Signals>

HyperGAT

Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

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

dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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).

graphqa

Protein quality assessment using Graph Convolutional Networks

HERALD

Source code of ICASSP22 papaer: Learnable Hypergraph Laplacian for Hypergraph Learning

Hyper-SAGNN

HyperGCN

HyperRec

Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)

IGNN

Implicit Graph Neural Networks

jiying-zhang.github.io

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

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

magnet

MagNet graph convolutional network

NWR-GAE

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

SAGPool

Official PyTorch Implementation of SAGPool - ICML 2019

SSGC

Implementation for Simple Spectral Graph Convolution in ICLR 2021

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation and Finetune.

youjibiying.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes