gszmnsk

gszmnsk's Stars

• weihua916/powerful-gnns

  How Powerful are Graph Neural Networks?

  Language:Python1.2k222

• Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction

  This is a list of papers related to traffic agent trajectory prediction.

  37043

• Rim-El-Ballouli/NGSIM-US-101-trajectory-dataset-smoothing

  smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter

  Language:Python10520

• jiangjudging/GNN-RNN-Based-Trajectory-Prediction-ITSC2021

  Language:Jupyter Notebook1

• Xiaoyu006/SATP-with-GNN

  Language:Python288

• yingtaoluo/Spatial-Temporal-Attention-Network-for-POI-Recommendation

  Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.

  Language:Python16439

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python979297

• LibCity/Bigscity-LibCity

  LibCity: An Open Library for Urban Spatial-temporal Data Mining

  Language:Python889164

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k322

• Accenture/AmpliGraph

  Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

  Language:Python2.1k251

• DeepGraphLearning/GMNN

  Graph Markov Neural Networks

  Language:Python39999

• ChandlerBang/GTrans

  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

  Language:Python535

• NSLab-CUK/Unified-Graph-Transformer

  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.

  Language:Python204

• BNN-UPC/MAGNNETO-TE

  Language:Python84

• laiguokun/multivariate-time-series-data

  737166

• shangzongjiang/MAGNN

  Language:Python7412

• ramos-ai/route-choice-env

  Language:Python41

• wuxiyang1996/Heterogeneous_Highway_Env

  Heterogeneous Multi-agent Version of Highway-env

  Language:Python13

• wuxiyang1996/iPLAN

  iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

  Language:Jupyter Notebook303

• julschoen/Temp-GAN

  Language:Python3

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k220

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k687

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k642

• CommonRoad/crgeo

  Graph neural networks for autonomous driving

  Language:Python343

• IC3Net/IC3Net

  Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

  Language:Python20749

• flow-project/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python1.1k372

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k732

• SaloniDash7/gym-sumo

  OpenAI gym wrapper for SUMO

  Language:Python163

• arpan-kusari/Naturalistic-SUMO-Gym

  We provide an open source software package for AV based simulation and testing running a docker container

  Language:Python2612

• OptMLGroup/VRP-RL

  Reinforcement Learning for Solving the Vehicle Routing Problem

  Language:Python592212