JiaxuanYou / G2SATLinks
G2SAT: Learning to Generate SAT Formulas
☆50Updated 5 years ago
Alternatives and similar repositories for G2SAT
Users that are interested in G2SAT are comparing it to the libraries listed below
Sorting:
- ☆10Updated 2 years ago
- ☆44Updated 5 years ago
- Learning local search heuristics for Boolean satisfiability☆37Updated last year
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆18Updated 5 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆155Updated last year
- IPC: A Graph Data Set Compiled from International Planning Competitions☆47Updated 6 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated 3 years ago
- PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers☆42Updated 2 years ago
- ☆35Updated 6 years ago
- SetToGraph paper repository☆22Updated 5 years ago
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆19Updated 2 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- PyTorch implementation of NeuroSAT☆28Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 7 years ago
- Neural Logic Inductive Learning☆44Updated 3 years ago
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆136Updated last year
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 6 years ago
- A benchmarking suite for maximum independent set solvers.☆53Updated last year
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆75Updated 8 months ago
- ☆11Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago