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
Python 3 supported version for DySAT
This is a python library created using pygame that manages the creation of graphs that update dynamically displaying the changes of x and y over time.
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
dynamic graphs from asynchronous nodes
TGN for anomaly detection in DGraph-Fin dataset. (Top2 🥈 solution in DGraph-Fin Leaderboard) https://dgraph.xinye.com/
Cocktail dynamic graph prompting technique in LLM for hallucination
Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs" accepted at Temporal Graph Learning Workshop @ NeurIPS 2023
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
The code for our ICLR 2024 paper: "Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs"
Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"
Given a temporal network, performs Temporal Random Walk using different sampling strategies.
PyTorch Implementation of a Deep Learning Model for Temporal Link Prediction in MANETs
Representation and learning framework for dynamic graphs using Graph Neural Networks.
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
[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
DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
Straph is a Python package for the modelisation, analysis and visualisation of Stream Graphs (https://arxiv.org/abs/1710.04073).
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