Pinned Repositories
ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
BRGCL-code
CGMN
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
CMU-15445
https://www.jianshu.com/nb/36265841
CPlusPlusThings
C++那些事
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
D2Match-ICML23
Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"
GCN_PyTorch
pytorch实现GCN代码的中文注释
GEDGNN
The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
GENN-Astar
Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".
htchsdg's Repositories
htchsdg/zhuang-zrpc
htchsdg/online-media-platform
htchsdg/GPSE
Graph Positional and Structural Encoder
htchsdg/SubgraphMatching
In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo
htchsdg/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
htchsdg/GLSearch
GLSearch: Maximum Common Subgraph Detection via Learning to Search
htchsdg/MIT-6.824
MIT 6.824 distributed system C++Version
htchsdg/D2Match-ICML23
Implementation of paper "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching"
htchsdg/CPlusPlusThings
C++那些事
htchsdg/SUFF-Code
The code of SUFF
htchsdg/GEDGNN
The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
htchsdg/CGMN
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
htchsdg/NeuralMCS
htchsdg/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
htchsdg/SUGRL
Simple Unsupervised Graph Representation Learning
htchsdg/Graph_Edit_Distance
Exact graph edit distance (GED) computation and verification
htchsdg/GENN-Astar
Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".
htchsdg/BRGCL-code
htchsdg/GraphOTSim
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings
htchsdg/Selectivity
Selectivity Functions of Range Queries are Learnable∗
htchsdg/MSQ-Index
htchsdg/siep
implementation of state-of-the-art subgraph matching algorithms (including BoostISO)
htchsdg/Noah-GED
Source code of “Noah: Neural-optimized A* Search Algorithm for Graph Edit Distance Computation”, accepted by ICDE 2021. Authors: Lei Yang, Lei Zou.
htchsdg/McSplit-RL
A Learning based Branch and Bound for Maximum Common Subgraph related Problems
htchsdg/GNN-Pytorch
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
htchsdg/ML-Partition-Search
A Multi-layered Indexing Approach for Similarity Search in Graph Databases
htchsdg/Graph-Hashing
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases
htchsdg/Graph-Optimal-Transport
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
htchsdg/ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
htchsdg/GCN_PyTorch
pytorch实现GCN代码的中文注释