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-tensorflow-

aaai2021_anpp

Attentive Neural Point Processes for Event Forecasting, AAAI 2021

awesome-dl-information-cascades-modleing

awesome-public-datasets

A topic-centric list of HQ open datasets.

big_model-pmr

Data download link and baselines

blog

博客仓库

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cas2vec

Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"

cascn

Information Diffusion Prediction via Recurrent Cascades Convolution

casseqgcn

CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades

cbdm-pytorch

Official implementation for 'Class-Balancing Diffusion Models'

coupledgnn

CoupledGNN: Popularity prediction with Coupled Graph Neural Networks

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deepcas

deepinf

DeepInf: Social Influence Prediction with Deep Learning

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffrec

Diffusion Recommender Model

difusco

Code of NeurIPS paper: arxiv.org/abs/2302.08224

dynamicgcn

dynamicqueryexpansion

This is an implementation of the Dynamic Query Expansion Algorithm for Twitter Data as explained in "Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling" by Liang Zhao et al.

dynamictriad

Dynamic Network Embedding by Modeling Triadic Closure Process

ernie_vil_pmr

flower102

flower102数据集分类_tensorflow_slim_InceptionV3

forest

source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"

gaan

gat

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

gem

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more