481 Open source projects that are alternatives of or similar to gemnet_pytorch

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

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

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

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

A reading list for deep graph learning acceleration.

Code and resources on scalable and efficient Graph Neural Networks

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

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

Unofficial! English original and Chinese translation of the paper.

PaperView 是一个自定义的View，它就像一张纸折叠和展开

A paper list with code of lane detection.

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

个人博客；论文；机器学习；深度学习；Python学习；C++学习；

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.

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

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

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Supervised community detection with line graph neural networks

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

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

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

📦 Powerful Package manager which updates plugins & server software for minecraft servers

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

Mixin loader for Paper

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

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

List of awesome papers on Polarization Imaging

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

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

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

A spherical convolutional neural network for cosmology (TFv1).

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

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

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Performance-tuned Minecraft 1.8 spigot server

Summary of machine learning papers

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

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

This is a Pytorch implementation of GraphLIME

No description or website provided.

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

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

wherein I implement several substructural logics in Agda

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

A reference implementation of ”Rendering transparent objects with caustics using real-time ray tracing“ using Unreal Engine 4.25.1.

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files".

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

Reimplementing cool papers in PyTorch...

Code for 2016 TPAMI(IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE) A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

An open information extraction system that provides compact extractions

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)