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Streamlining the Design Space of ML4TSP Suggests Principles for Learning and Search

Explore the Design Space of ML4TSP

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime

Rethinks and benchmarks for predict-and-optimize

Pyramid Graph Neural Network: a Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations

A pyramid Graph Neural Network that produces disentangled spectral representation via graph sampling.

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction

An efficient and effective solver for VNE problem

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution

inductive one-bit matrix completion, graph signal sampling

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling

A simulation system and interface for urban mobility and epidemic propagation, intervation.

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

A continuous-time self-attention algorithm by temporal point process with applications on sequential recommendation.

Gated Sequential Recommendation System with Social and Textual Information under Dynamic Contexts

A sequential Recommendation algorithm to combine social and textual imformation.