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awesome-contrastive-self-supervised-learning

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

camilla

camilla-learner-training

care-gnn

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

cuco

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

curriculum-labeling

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

disenlink

dyglib

A Library for Dynamic Graph Learning

educdm

The Model Zoo of Cognitive Diagnosis Models

fraud-detection-icdm

graphcl

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

graphgps

Recipe for a General, Powerful, Scalable Graph Transformer

graphsnn

Graph Structured Neural Network

gsn

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

heterophilous-graphs

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

isesl-sql

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

kaggle-ashrae---great-energy-predictor-iii

记录本人第一次参加kaggle比赛的经历

leetcode

minerva

Meandering In Networks of Entities to Reach Verisimilar Answers

ml-data-parameters

multihopkg

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

principle-of-compiler

2018 Autumn USTC Principle of Compiler Lab

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

resdsql

sad

sat

Official Pytorch code for Structure-Aware Transformer.

self-adaptive-training

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

sparsegad

topic-model-text-segmentation