GemsLab / StrucEmbedding-GraphLibraryLinks
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
β18Updated 2 years ago
Alternatives and similar repositories for StrucEmbedding-GraphLibrary
Users that are interested in StrucEmbedding-GraphLibrary are comparing it to the libraries listed below
Sorting:
- Fast (Personalized) PageRank Implementationβ68Updated 2 years ago
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 years ago
- β21Updated last year
- β17Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphsβ72Updated 4 years ago
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"β57Updated 5 years ago
- A Broader Picture of Random-walk Based Graph Embeddingβ30Updated 4 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.β106Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNsβ46Updated last year
- ποΈ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddingsβ25Updated last year
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statisticalβ¦β51Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in β¦β30Updated 3 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.β41Updated 4 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"β31Updated 9 months ago
- tNodeEmbedβ79Updated 2 years ago
- HDGI codeβ63Updated 5 years ago
- β95Updated 2 years ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.β68Updated last year
- DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularityβ29Updated 3 years ago
- New Algorithms for Learning on Hypergraphsβ41Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepteβ¦β142Updated 6 months ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.β89Updated 5 years ago
- SIGN: Scalable Inception Graph Networkβ96Updated 4 years ago
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)β70Updated 2 years ago
- β143Updated 4 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271β¦β65Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)β71Updated 4 months ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applicationsβ¦β54Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.β81Updated 2 years ago
- The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Gaβ¦β10Updated 6 years ago