alga-hopf / dl-spectral-graph-partitioningLinks
Deep learning and spectral embedding for graph partitioning
☆15Updated 3 years ago
Alternatives and similar repositories for dl-spectral-graph-partitioning
Users that are interested in dl-spectral-graph-partitioning are comparing it to the libraries listed below
Sorting:
- Graph partitioning for distributed GNN training☆14Updated 2 years ago
- Graph Partitoning Using Graph Convolutional Networks☆67Updated 3 years ago
- ☆16Updated 2 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆74Updated 7 months ago
- Graph Coarsening with Neural Networks☆11Updated 3 years ago
- VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs☆135Updated 4 months ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆91Updated 5 years ago
- Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022☆24Updated 3 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆47Updated 2 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 3 years ago
- A Python wrapper around Metis, a graph partitioning package☆193Updated 3 weeks ago
- DRL models for graph partitioning and sparse matrix ordering.☆32Updated 2 years ago
- VF2 - Subgraph Isomorphism☆48Updated 4 months ago
- ☆45Updated 2 years ago
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated 2 years ago
- "GraphArena: Evaluating and Exploring Large Language Models on Graph Computation" in ICLR 2025☆29Updated 10 months ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆59Updated 2 years ago
- KDD 2020: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆10Updated 4 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- ☆96Updated 2 years ago
- Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization☆58Updated last week
- A graph transformer framework☆78Updated 3 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆42Updated last year
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆98Updated 2 weeks ago
- ☆18Updated 2 weeks ago
- Must-read papers on Graph Neural Networks (GNNs) for Integrated Circuits (ICs) design, security and reliability.☆74Updated 6 months ago
- Visualization tool for Graph Neural Networks☆257Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year