31 Open source projects that are alternatives of or similar to Nrlpapers

A curated list of network embedding techniques.

Must-read papers on graph neural networks (GNN)

An Open-Source Package for Network Embedding (NE)

A collection of important graph embedding, classification and representation learning papers with implementations.

Summary of open source code for deep learning models in the field of traffic prediction

A collection of real-world networks/graphs for Network Embedding

Network Representation Learning with Rich Text Information (IJCAI 2015)

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

A paper list for Time series modelling, including prediciton and anomaly detection

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"

Friends Recommendation and Link Prediction in Social Netowork

A reading list for deep graph learning acceleration.

Profiling and Deanonymizing Ethereum Users

NLU: domain-intent-slot; text2SQL

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Tri-Party Deep Network Representation, IJCAI-16

A list of data mining and machine learning papers that I implemented in 2019.

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Must-read papers and resources related to causal inference and machine (deep) learning

Paper list of deep learning on point clouds.

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

A curated list of Early Exiting papers, benchmarks, and misc.

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

A Paper List for Personalized, Emotional, and stylized Dialog

Collection of papers on Emotion Cause Analysis

A distributed graph deep learning framework.