98 Open source projects that are alternatives of or similar to TIMME

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Reimplementation of Graph Embedding methods by Pytorch.

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

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

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

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

Graph-based machine learning for chemical property prediction

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Locally Private Graph Neural Networks (ACM CCS 2021)

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

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

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

A spherical CNN for weather forecasting

Code and resources on scalable and efficient Graph Neural Networks

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

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

AAAI'21: Data Augmentation for Graph Neural Networks

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

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

odr.chalmers.se/handle/20.500.12380/256629?locale=en

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

A distributed graph deep learning framework.

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

Subgraph Neural Networks (NeurIPS 2020)

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

Summary of social recommendation papers and codes

🔨 🍇 💻 🚀 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

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

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

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

Tutorials for Machine Learning on Graphs

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Probabilistic Type Inference using Graph Neural Networks

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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).

An index of recommendation algorithms that are based on Graph Neural Networks.

Visualization tool for Graph Neural Networks

Representation Learning on Graphs with Jumping Knowledge Networks

Demo of RouteNet in ACM SIGCOMM'19

Awesome Graph Self-Supervised Learning

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Geometric Deep Learning for Flux

Disentagnled Graph Collaborative Filtering, SIGIR2020

Pytorch differentiable molecular dynamics

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

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

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

This is a Pytorch implementation of GraphLIME

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

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.

Message Passing Neural Networks for Simplicial and Cell Complexes

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io