The official repository for the source code of the article "Local graph embeddings based on neighbors degree frequency of nodes".
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Updated
Nov 16, 2023 - Jupyter Notebook
The official repository for the source code of the article "Local graph embeddings based on neighbors degree frequency of nodes".
Exploiting Graph Structures for Reproducibility Badge Prediction in Academic Papers
Quick run of Metapath2Vec to embed a heterogeneous graph.
This is the code repo for Violin, an IJCAI 2023 paper.
Implementation of the paper: Towards Improved Illicit Node Detection with Positive-Unlabelled Learning
This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.
SubGAcc is a C/OpenMP-based library for accelerating subgraph operations in Python.
Official implementation for paper "10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention"
Learning joint Euclidean and hyperbolic graph representations. Codes for "Joint hyperbolic and Euclidean geometry contrastive graph neural networks" published in Information Sciences
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
Few-Shot Graph Classification via distance metric learning.
Streamlit App for Node and Graph Classification and Explainability
[WWW'24] MPNN with Bloom Signatures is a novel hash-based computation framework for learning scalable structural link representations.
Multi-resolution representation learning of graphs.
This is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph representation learning.
My implementation of Deepwalk in PyTorch
Sentiment Graph for Product Recommendation
Awesome Graph Condensation Papers
[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
Codes and data for ICDM 2020 Best Student Paper Runner-up "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
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