ZJUNet

Social Networks Lab at Zhejiang University

Yuquan campus, Zhejiang university

Pinned Repositories

AMNet
Language:Python36 0 04
Brant-X
9 3 00
DropMessage
The implementation for DropMessage.
Language:Python35 1 07
EvoNet
Time-Series Event Prediction with Evolutionary State Graph
Language:Python25 1 05
G-Tuning
The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”
Language:Python9 0 01
GPF
The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
Language:Python26 0 03
GraphAdapter
Language:Python14 0 01
HEBR
Hierarchical Electricity-theft Behavior Recognition
Language:Python21 3 04
PathNet
The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".
Language:Python17 0 03
Time2Graph
Source codes for Time2Graph model.
Language:Python20 2 04

ZJUNet's Repositories

zjunet/AMNet
Language:Python36 0 04
zjunet/DropMessage
The implementation for DropMessage.
Language:Python35 1 07
zjunet/GPF
The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
Language:Python26 0 03
zjunet/EvoNet
Time-Series Event Prediction with Evolutionary State Graph
Language:Python25 1 05
zjunet/HEBR
Hierarchical Electricity-theft Behavior Recognition
Language:Python21 3 04
zjunet/Time2Graph
Source codes for Time2Graph model.
Language:Python20 2 04
zjunet/PathNet
The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".
Language:Python17 0 03
zjunet/GraphAdapter
Language:Python14 0 01
zjunet/Brant-X
9 3 00
zjunet/G-Tuning
The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”
Language:Python9 0 01
zjunet/GraphTCM
The code Implementation of the paper “Exploring Correlations of Self-Supervised Tasks for Graphs”.
Language:Python9 0 00
zjunet/DAMF
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds (KDD'23)
Language:Python5 0 00
zjunet/GraphSkeleton
The implementation of “Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph” (WWW'24)
Language:Python3 0 0
zjunet/STI
Social-aware Time series Imputation
Language:Python3 2 01
zjunet/W2PGNN
code for kdd feasibiiity
Language:Python3 0 00
zjunet/E-Net
The code of paper "Robust Network Enhancement from Flawed Networks"
Language:Python2 1 02
zjunet/IncSVD
Language:Python2 0 0
zjunet/Bridge-Tune
Language:Python1 0 0
zjunet/ETR
Language:Python1 0 0
zjunet/GraphAlign
The implementation of "Can Modifying Data Address Graph Domain Adaptation?"
Language:Python1 0 0
zjunet/HomNet
chromosome anomaly
Language:Python1
zjunet/KDDCUP2020_AutoEnsemble
Language:Python1 1 00
zjunet/DynamicTriad
Dynamic Network Embedding by Modeling Triadic Closure Process
Language:Python0 1 00
zjunet/cadt
cadt
zjunet/DP-Spectral
Implementation of DP-Spectral.
Language:Python1 0
zjunet/DWLR
zjunet/FairGraphFL
Language:Python0 0
zjunet/GPS_KDD
Language:Python0 0