hannn1

hannn1's Stars

• halfrost/LeetCode-Go

  ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

  Language:Go33k630795.7k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k180111.3k

• thunlp/OpenKE

  An Open-Source Package for Knowledge Embedding (KE)

  Language:Python3.8k103382986

• jm199504/Financial-Knowledge-Graphs

  小型金融知识图谱构建流程（neo4j / python / cypher / KG）

  Language:Jupyter Notebook2.8k639522

• km1994/NLP-Interview-Notes

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.5k2314511

• liuhuanyong/CrimeKgAssitant

  Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

  Language:Python1.4k3618383

• THUYimingLi/backdoor-learning-resources

  A list of backdoor learning resources

  1k396168

• safe-graph/graph-adversarial-learning-literature

  A curated list of adversarial attacks and defenses papers on graph-structured data.

  8313711129

• tkipf/relational-gcn

  Keras-based implementation of Relational Graph Convolutional Networks

  Language:Python7912325134

• WeThinkIn/Interview-for-Algorithm-Engineer

  【三年面试五年模拟】算法工程师秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。

  73990113

• deepakn97/relationPrediction

  ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

  Language:Python5211542124

• sixs/wenshu_spider

  中国裁判文书网爬虫(2018-08-28更新)

  Language:Python3362314107

• DSXiangLi/ChineseNER

  中文NER的那些事儿

  Language:Python30972258

• pen-ho/medical_knowledge_graph_app-master

  医药知识图谱自动问答系统实现，包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别（基于词典+BERT_CRF）、实体链接（Sentence-BERT做匹配）、意图识别（基于提问词+领域词词典）。

  Language:JavaScript26631642

• danielzuegner/nettack

  Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

  Language:Python21871656

• renjunxiang/Competition_CAIL

  2018**‘法研杯’法律智能挑战赛（CAIL2018）个人作品

  Language:Python216151062

• penghui-yang/awesome-data-poisoning-and-backdoor-attacks

  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)

  1843018

• Hanjun-Dai/graph_adversarial_attack

  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

  Language:Python1274833

• JD-AI-Research-Silicon-Valley/SACN

  End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

  Language:Python11352430

• thunlp/ONION

  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"

  Language:Python28852

• fulifeng/GraphAT

  Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

  Language:Python23309

• nju-websoft/CoLE

  I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning, CIKM 2022

  Language:Python23511

• lancopku/RAP

  Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)

  Language:Python22312

• pouyapez/criage

  Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

  Language:Jupyter Notebook18543

• Hyingerrr/spirited

  AI-agent应用，基于GPT、langchain、function calling、Stable diffusion等的AI儿童绘本生成

  Language:Python17114

• PeruBhardwaj/AttributionAttack

  Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'

  Language:Python14200

• DexterZeng/CEA

  Source code for ICDE 2020 paper Collective Entity Alignment via Adaptive Features (CEA).

  Language:Python13312

• Zhaominghao1314/Target-Defense-Against-Link-Prediction-Based-Attacks-via-Evolutionary-Perturbations

  [TKDE2019] Target defense against link-prediction-based attacks via evolutionary perturbations.

  Language:Python60

• hbheyho/EA-AttrE

  Reproduce the paper of《Entity Alignment between Knowledge Graphs Using Attribute Embeddings》

  Language:Jupyter Notebook5100

• cshjin/LATGCN

  LATGCN, a GCN model with sensitivity as regularizer

  Language:Python3241