Celia0971

Celia0971's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.1k2523.5k3.6k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k1752.8k3k

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k388311.7k

• FederatedAI/FATE

  An Industrial Grade Federated Learning Framework

  Language:Python5.7k1362k1.6k

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook4.9k88649590

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k621k431

• probml/pmtk3

  Probabilistic Modeling Toolkit for Matlab/Octave.

  Language:HTML1.5k192110797

• weihua916/powerful-gnns

  How Powerful are Graph Neural Networks?

  Language:Python1.2k2623223

• benedekrozemberczki/awesome-gradient-boosting-papers

  A curated list of gradient boosting research papers with implementations.

  Language:Python998493155

• benedekrozemberczki/SimGNN

  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

  Language:Python7521147147

• lukecavabarrett/pna

  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

  Language:Python33751355

• GRAND-Lab/graph_datasets

  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

  2809473

• IBCNServices/pyRDF2Vec

  🐍 Python Implementation and Extension of RDF2Vec

  Language:Python245158550

• laura-rieger/deep-explanation-penalization

  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

  Language:Jupyter Notebook12691314

• sjoerdvansteenkiste/Neural-EM

  Code for the "Neural Expectation Maximization" paper.

  Language:Python1258838

• Wuyxin/DIR-GNN

  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

  Language:Python11651516

• facebookresearch/text-adversarial-attack

  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"

  Language:Python989811

• DevSinghSachan/ssl_text_classification

  Semi Supervised Learning for Text-Classification

  Language:Python835815

• DeepGraphLearning/GraphLoG

  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

  Language:Python768319

• shiernee/Advanced_ML

  Language:Jupyter Notebook684135

• gpleiss/equalized_odds_and_calibration

  Code and data for the experiments in "On Fairness and Calibration"

  Language:Python493220

• zaixizhang/ProtGNN

  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"

  Language:Python48548

• jiaxiaojunQAQ/Adv-watermark

  Code for Adv-watermark: A novel watermark perturbation for adversarial examples (ACM MM2020)

  Language:Python40208

• predict-idlab/RR-GCN

  Code for "R-GCN: The R Could Stand for Random"

  Language:Python37414

• RockyLzy/TextDefender

  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"

  Language:Python30162

• ChaoningZhang/Awesome-Universal-Adversarial-Perturbations

  24400

• mewispool/mewispool

  Language:Python15212

• EnyanDai/SEGNN

  A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).

  Language:Python11323

• midas-research/data-free-uats

  Language:Python6912

• xinzhel/attack_alta

  Experiment for the paper published on ALTA2021: "Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Text"

  Language:Python1001