120 Open source projects that are alternatives of or similar to LambdaNet

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Demo of RouteNet in ACM SIGCOMM'19

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

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

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

Awesome Graph Self-Supervised 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).

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

Subgraph Neural Networks (NeurIPS 2020)

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

Awesome autocompletion, static analysis and refactoring library for python

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

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

Locally Private Graph Neural Networks (ACM CCS 2021)

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Pytorch differentiable molecular dynamics

Visualization tool for Graph Neural Networks

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

Sequence to Sequence Models in PyTorch

PHPStan based SQL static analysis and type inference for the database access layer

TypeScript-first schema validation with static type inference

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

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

A static analysis tool for finding errors in PHP applications

Reimplementation of Graph Embedding methods by Pytorch.

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

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

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

AAAI'21: Data Augmentation for Graph Neural Networks

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

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

Code and resources on scalable and efficient Graph Neural Networks

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

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

🔨 🍇 💻 🚀 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

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

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

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

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

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

Tutorials for Machine Learning on Graphs

Neural Models for Key Phrase Detection and Question Generation

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

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

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

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

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

A static, type inferred and embeddable language written in Rust.

A spherical CNN for weather forecasting

Summary of social recommendation papers and codes

Graph-based machine learning for chemical property prediction

An implementation of a predicative polymorphic language with bidirectional type inference and algebraic data types

Message Passing Neural Networks for Simplicial and Cell Complexes

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

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)