TGN-AA: Temporal Graph Networks with attention-based aggregator
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Updated
May 8, 2024 - Python
TGN-AA: Temporal Graph Networks with attention-based aggregator
dynamic graphs from asynchronous nodes
The code for our ICLR 2024 paper: "Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs"
Given a temporal network, performs Temporal Random Walk using different sampling strategies.
TGN for anomaly detection in DGraph-Fin dataset. (Top2 🥈 solution in DGraph-Fin Leaderboard) https://dgraph.xinye.com/
'Explainable' deep learning anomaly detection methods compatible with dynamic graph data
Benchmark Generator for Dynamic Overlapping Communities
This repository contains a our work about the "How to Explore a Fast-Changing World" paper, where we cover the simple random walk on directed graphs and undirected graphs and the lazy random walk on dynamic graphs. In terms of the cover time.
PyTorch Implementation of a Deep Learning Model for Temporal Link Prediction in MANETs
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Repository for my applied mathematician master thesis
Simple C++ library for dynamic graph layout.
This repository contains a our work about the "Real-time Constrained Cycle Detection in Large Dynamic Graphs" paper, which present a GraphS system to efficiently detect constrained cycles in a dynamic graph, which is changing constantly, and return the satisfying cycles in real-time.
This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.
ARROW: Approximating Reachability using Random walks Over Web scale graphs
Pixel-Based Visual Analysis of Dynamic Graphs (VDS 2020 at IEEE VIS20)
Dynamic Graph Echo State Networks
Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
Straph is a Python package for the modelisation, analysis and visualisation of Stream Graphs (https://arxiv.org/abs/1710.04073).
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