181 Open source projects that are alternatives of or similar to SelfTask-GNN

Papers about explainability of GNNs

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

A curated list of awesome graph & self-supervised-learning-based recommendation.

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Awesome Graph Self-Supervised Learning

Geometric Deep Learning for Flux

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Representing Long-Range Context for Graph Neural Networks with Global Attention

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

FisheyeDistanceNet

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Code to train the SimSiam model on cifar10 using PyTorch

Probabilistic Type Inference using Graph Neural Networks

Graph-based machine learning for chemical property prediction

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

A reading list for deep graph learning acceleration.

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

List of Publications in Graph Contrastive Learning

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

A Fast Knowledge Distillation Framework for Visual Recognition

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Supervised community detection with line graph neural networks

Message Passing Neural Networks for Simplicial and Cell Complexes

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Official code for "Mean Shift for Self-Supervised Learning"

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Natural World Tasks

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Representation Learning on Graphs with Jumping Knowledge Networks

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

EsViT: Efficient self-supervised Vision Transformers

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Variants of Vision Transformer and its downstream tasks

Locally Private Graph Neural Networks (ACM CCS 2021)

A spherical convolutional neural network for cosmology (TFv1).

This is a Pytorch implementation of GraphLIME

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)