Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
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Updated
Jun 15, 2021 - Python
Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
A performant, powerful query framework to search for network motifs
Neural Subgraph Matching Paper: "AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching". [Neural-Subgraph-Matching Method For Learning-Subgraph-Matching. (Approximate Subgraph matching, SubgraphMatching)]
Performant, pure-Python subgraph isomorphism and monomorphism search (aka "motif search")
Source Code: Sub-GMN: Subgraph Matching Network
A state of the art algorithm for the Graph Isomorphism problem, adjusted for Sub-Graph and Induced Sub-Graph Isomorphism and extended to directed and multigraph settings.
Subgraph isomorphism using SAT Solving
The code implementation of HPEC20 paper *LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining*
Assignments done under course COL761-Data Mining
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