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planetoid

Semi-supervised learning with graph embeddings

politihop

prml

PRML algorithms implemented in Python

progressive-hint

This is the official implementation of "Progressive-Hint Prompting Improves Reasoning in Large Language Models"

protoco

pte

pygcn

Graph Convolutional Networks in PyTorch

ragcl

rdea

Source code for SIGIR 2021 paper "Rumor Detection on Social Media with Event Augmentations"

refiner

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

relation_extraction

Knowledge Base Embedding

rella

Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".

rumor-detection-include-twitter15-twitter16data-

rumor_rvnn

Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

sdne

This is a implementation of SDNE (Structural Deep Network embedding)

self-refine

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

simplified-deeplearning

Simplified implementations of deep learning related works

sjtu_zhfy

可视化平台

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

spine

Code of the paper "SPINE: Structural Identity Preserved Inductive Network Embedding"

stabilizing_gans

Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"

t3rd

tadw

Network Representation Learning with Rich Text Information (IJCAI 2015)

tape

Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

tea

Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-infogan

:dolls: InfoGAN: Interpretable Representation Learning