The source codes for TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation.

Last update: Feb 10, 2022

Related tags

Overview

TME

The source codes for TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation.
Our implementation is based on TGNs, and the user guide is below:

Download datasets

All datasets can be download from here: http://snap.stanford.edu/data/index.html. The raw file should be saved to /data folder.

Preprocess

python utils/preprocess_data.py --data wikipedia --bipartite
python utils/count_motif.py --data wikipedia --threshold_time 86400 --bipartite

Link prediction

python train_self_supervised.py --data wikipedia --use_memory --aggregator identity --memory_updater gru_long --prefix TME

Node classfication

python train_self_supervised.py --data wikipedia --use_memory --aggregator last --memory_updater gru --prefix TME_GRUCell
python train_supervised.py --data wikipedia --use_memory --aggregator last --memory_updater gru --prefix TME_GRUCell

Owner

GitHub Repository

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai

Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks an

1.7k Jan 08, 2023

YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest

官方讨论群 QQ群：552703875 微信群：15158106211(先加作者微信，再邀请入群) YoloAll项目简介 YoloAll是一个将当前主流Yolo版本集成到同一个UI界面下的推理预测工具。可以迅速切换不同的yolo版本，并且可以针对图片，视频，摄像头码流进行实时推理，可以很方便，直观

244 Jan 01, 2023

Using contrastive learning and OpenAI's CLIP to find good embeddings for images with lossy transformations

Creating Robust Representations from Pre-Trained Image Encoders using Contrastive Learning Sriram Ravula, Georgios Smyrnis This is the code for our pr

26 Dec 10, 2022

The PyTorch implementation for paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" (CVPR2022 Oral)

ArXiv | Get Start Neural-Texture-Extraction-Distribution The PyTorch implementation for our paper "Neural Texture Extraction and Distribution for Cont

111 Dec 10, 2022

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

TriBERT This repository contains the code for the NeurIPS 2021 paper titled "TriBERT: Full-body Human-centric Audio-visual Representation Learning for

8 Aug 31, 2022

The source codes for TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation.

Related tags

Overview

TME

Download datasets

Preprocess

Link prediction

Node classfication

Owner

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai

YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest

Using contrastive learning and OpenAI's CLIP to find good embeddings for images with lossy transformations

The PyTorch implementation for paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" (CVPR2022 Oral)

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

mlpack: a scalable C++ machine learning library --

Pytorch tutorials for Neural Style transfert

3D-Reconstruction 基于深度学习方法的单目多视图三维重建

Pytorch implementation of DeepMind's differentiable neural computer paper.

Public Models considered for emotion estimation from EEG

Run containerized, rootless applications with podman

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Chainer Implementation of Semantic Segmentation using Adversarial Networks

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.

SAPIEN Manipulation Skill Benchmark

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement

Einshape: DSL-based reshaping library for JAX and other frameworks.