Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
☆90Oct 27, 2019Updated 6 years ago
Alternatives and similar repositories for clusternet
Users that are interested in clusternet are comparing it to the libraries listed below
Sorting:
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Feb 12, 2021Updated 5 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21May 16, 2024Updated last year
- ☆18Feb 7, 2021Updated 5 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆11Jul 7, 2022Updated 3 years ago
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆13Mar 14, 2024Updated 2 years ago
- Draws a 2D simplicial complex from a list of simplices.☆16Jan 20, 2020Updated 6 years ago
- CSS-LM: Contrastive Semi-supervised Fine-tuning of Pre-trained Language Models☆12Jul 1, 2023Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Mar 18, 2024Updated 2 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Sep 17, 2019Updated 6 years ago
- ☆16Oct 29, 2019Updated 6 years ago
- A GitHub action to run clang-tidy and annotate failures☆14Jul 12, 2023Updated 2 years ago
- Community Detection for Twitter follower network of 40 million users using mapreduce☆16Nov 15, 2010Updated 15 years ago
- Minimalistic WebUI for passiveDNS tool☆18May 6, 2021Updated 4 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆23Apr 13, 2025Updated 11 months ago
- Benchmark problems for decision-focused learning☆15Mar 13, 2026Updated last week
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Jul 8, 2022Updated 3 years ago
- ☆12Feb 20, 2021Updated 5 years ago
- The repository for our paper: Neighboring Perturbations of Knowledge Editing on Large Language Models☆16May 4, 2024Updated last year
- A novel general non-stationary point process model based on neural networks.☆11Sep 23, 2022Updated 3 years ago
- Code for nonconvex graph trend filtering☆10May 6, 2022Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59May 22, 2019Updated 6 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Jun 27, 2024Updated last year
- Tutorial for Multi-Stakeholder Recommender Systems☆22Aug 23, 2021Updated 4 years ago
- Pytorch implementation of a dynamic gnn based on Roland framework☆18Jun 23, 2025Updated 8 months ago
- Implementation of SBM-meet-GNN☆23May 12, 2019Updated 6 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Mar 31, 2019Updated 6 years ago
- Data for eight zones in New England as used in the 2017 Global Energy Forecasting Competition (GEFCom2017).☆11Mar 7, 2020Updated 6 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Jan 21, 2022Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Apr 6, 2022Updated 3 years ago
- ☆18Oct 22, 2020Updated 5 years ago
- Multiple Local Community Detection☆17Jul 28, 2017Updated 8 years ago
- Memory-Based Graph Networks☆104Jun 22, 2022Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆276Mar 15, 2025Updated last year
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Oct 28, 2019Updated 6 years ago
- This is a deep-learning based model for Electronic Design Automation(EDA), predicting the Design Rule Check (DRC) violation location.☆13Jun 24, 2023Updated 2 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- This project is to implement the algorithm discussed in Efficient Identification of Overlapping Communities.☆15Nov 8, 2021Updated 4 years ago