zjlxgxz / DynamicPPE

Code for the KDD21 paper "Subset Node Representation Learning over Large Dynamic Graphs"

DynamicPPE

Code for the KDD21 paper "Subset Node Representation Learning over Large Dynamic Graphs"

Here is the instruction of using our code and datasets:

1. to compile DynamicPPE, go to code folder and run the following command: g++ -std=c++0x -O3 -g -Wall -o dynamic-ppe-fast dynamic_ppe_fast.cpp MurmurHash3.cpp -lpthread
2. to build enwiki20 dataset, go to code folder and use the following python script: build_wiki_graph.py
3. academic-small is from: https://github.com/luckiezhou/DynamicTriad
4. Execute:

./dynamic-ppe-fast -h
DynamicPPE: ./dynamic-ppe-fast config_path emb_dim epsilon alpha model seed num_cpus verbose

./dynamic-ppe-fast datasets/academic-small/config_t_9_d_512/ 512 0.1 0.15 hash 0 20 0

Data

Download all datasets from: https://www.dropbox.com/sh/g3i95yttpjhgm2l/AAD8pF0XtgFv0fzmTrrOO4BWa?dl=0

Python Version

Released together with our follow-up paper: https://github.com/zjlxgxz/DynAnom

The Python version supports weighted graphs and edge weight changes.