⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

A collection of AWESOME things about Graph-Related LLMs.

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Multimodal Fusion with Co-Attention Networks for Fake News Detection

A collection of GNN-based fake news detection models.

Official repository containing the code and experimental details of the paper, "Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification".

Graph Neural Network Library for PyTorch

Pytorch Geometric Tutorials

proxychains - a tool that forces any TCP connection made by any given application to follow through proxy like TOR or any other SOCKS4, SOCKS5 or HTTP(S) proxy. Supported auth-types: "user/pass" fo…

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The code for the paper "Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph"

CIKM 2024 Accepted Paper

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

Unified Training of Universal Time Series Forecasting Transformers

[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".

[ECCV 2022 Oral] AutoMix: Unveiling the Power of Mixup for Stronger Classifiers