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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)

ban-vqa

Bilinear attention networks for visual question answering

benchmarking-gnns

Repository for benchmarking graph neural networks

cca-ssg

Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

datashapley

Data Shapley: Equitable Valuation of Data for Machine Learning

deep-graph-matching-consensus

Implementation of Deep Graph Matching Consensus in PyTorch

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)

dhgnn

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

dhne

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

document

dpss-exp3-vc-ppg

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

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

druggcn

edsr

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

fully-learnable-group-convolution.pytorch

Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

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-u-nets

Pytorch implementation of Graph U-Nets (ICML19)

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

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)

graphqa

Protein quality assessment using Graph Convolutional Networks