code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

Recipe for a General, Powerful, Scalable Graph Transformer

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Meandering In Networks of Entities to Reach Verisimilar Answers

A Library for Dynamic Graph Learning

A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

Official Pytorch code for Structure-Aware Transformer.

The source code of paper "Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph" in KDD2022.

A Python Library for Graph Outlier Detection (Anomaly Detection)

Graph Structured Neural Network

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

The Model Zoo of Cognitive Diagnosis Models

A comprehensive list of awesome contrastive self-supervised learning papers.