SunQingYun1996

SunQingYun1996's Stars

• conwnet/github1s

  One second to read GitHub code with VS Code.

  Language:TypeScript22.9k109212876

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python9k2891935k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k25214780

• louisfb01/best_AI_papers_2021

  A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

  2.9k840237

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k31210284

• htqin/awesome-model-quantization

  A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

  1.8k6112203

• BDBC-KG-NLP/QA-Survey-CN

  北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

  1.7k424261

• THUYimingLi/backdoor-learning-resources

  A list of backdoor learning resources

  1.1k386168

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook9821243179

• acbull/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  Language:Python8011454163

• Cantoria/dynamic-graph-papers

  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph

  42816264

• sunfanyunn/InfoGraph

  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

  Language:Python31471245

• villmow/datasets_knowledge_embedding

  Datasets for Knowledge Graph Completion with textual information about the entities

  2738159

• YingtongDou/CARE-GNN

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

  Language:Python24861553

• hugochan/IDGL

  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

  Language:Python22382133

• snap-stanford/graphwave

  Language:Jupyter Notebook170541553

• xingjunm/lid_adversarial_subspace_detection

  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

  Language:Python1224438

• GSL-Benchmark/GSLB

  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

  Language:Python1090612

• kashif/ICLR2022-OpenReviewData

  Crawl & visualize ICLR papers and reviews.

  Language:Jupyter Notebook1073011

• SikaStar/IDM

  Language:Python10132319

• nd7141/graph_datasets

  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.

  Language:Python88337

• dfdazac/dgi

  TensorFlow implementation of Deep Graph Infomax

  Language:Python63819

• zhaohan-xi/GraphBackdoor

  Language:Python522117

• Samyu0304/graph-information-bottleneck-for-Subgraph-Recognition

  Language:Python50216

• burklight/nonlinear-IB-PyTorch

  Pytorch Implementation of the Nonlinear Information Bottleneck

  Language:Python37818

• zaixizhang/graphbackdoor

  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)

  Language:Python34224

• mgarbellini/Quantum-Walks-Time-Dependent-Hamiltonians

  In this thesis we study the properties of quantum walks with time dependent Hamiltonians, focusing in particular on the application to the quantum search problem on graphs. We study the search, localization and give a measure of robustness.

  Language:Python10255

• pradeepnpk/Quantum-walk

  Open quantum walk simulations in python

  Language:Python10205

• SunQingYun1996/SUGAR

  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""

  Language:Python9103

• mapleyustat/quantum_walk_neural_network

  This is an algorithm for quantum walk neural networks on a star-shaped graph. The quantum walker learns a transition matrix of the graph through the algorithm.

  Language:Python2100