Thinklab@SJTU (Thinklab-SJTU)

Thinklab@SJTU

Thinklab-SJTU

Geek Repo

Thinklab at Shanghai Jiao Tong University, led by Prof. Junchi Yan.

Location:Shanghai

Home Page:http://thinklab.sjtu.edu.cn

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Thinklab@SJTU's repositories

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

ThinkMatch

A research protocol for deep graph matching.

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Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

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pygmtools

A Python Graph Matching Toolkit.

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EDA-AI

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

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awesome-ai4eda

Awesome Artificial Intelligence for Electronic Design Automation Papers.

PPO-BiHyb

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

awesome-molecular-docking

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

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S2TLD

Newly released traffic light dataset for small object detection.

LinSATNet

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".

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One-Shot-Cardinality-NN-Solver

Official implementation of our ICLR 2023 paper "Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case"

GENN-Astar

Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".

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awesome-ml4tpp

Awesome machine learning for temporal point processes papers.

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HardSATGEN

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

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ROCO

Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".

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WSGNN

Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation

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robustMatch

Codes for CVPR 2022 Paper: "Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond"

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GAL-VNE

Official Implementation of KDD 2023 paper: "GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction"

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DICE

Codes for KDD 2022 Paper: "DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness"

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awesome-hpo

hpo update

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IMCPT-SparseGM-dataset

The homepage of IMCPT-SparseGM Dataset for graph matching.

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ThinkMatch-runtime

The runtime builder for ThinkMatch powered by Github Actions.

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