Pinned Repositories
ALOHA-course
This is the code related to the lab exercise in Python about MAC competitive protocols (ALOHA, CSMA).
alp-baselines
Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)
ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Attention-Aware-Capsule-GAN
Official Tensorflow implementation of Self-Attention Generative Adversarial Capsule Networks
awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
awesome-network-embedding
A curated list of network embedding techniques.
GraphGAN
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
PC-GNN
(WWW 2021) Source code of PC-GNN
SAD
social-network-alignment
GAN with tensorflow to realize social network alignment (supervised learning)
Crystal-LiuBojia's Repositories
Crystal-LiuBojia/SAD
Crystal-LiuBojia/awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Crystal-LiuBojia/C-GraphSAGE
Crystal-LiuBojia/cadet
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
Crystal-LiuBojia/CDCGAN
Crystal-LiuBojia/CFAD
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE TKDE 2023
Crystal-LiuBojia/CM-GCL
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
Crystal-LiuBojia/cmo
Crystal-LiuBojia/FATE
Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”
Crystal-LiuBojia/GATE
Graph Attention Auto-Encoders
Crystal-LiuBojia/GNNs-for-Node-Classification
Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in the future.
Crystal-LiuBojia/Graph-Transplant
Crystal-LiuBojia/GraphMixup
Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"
Crystal-LiuBojia/GraphNNExplanation
Crystal-LiuBojia/GraphPrompt
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Crystal-LiuBojia/GraphSHA
"GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
Crystal-LiuBojia/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
Crystal-LiuBojia/HeroLT
Crystal-LiuBojia/HG-PerCon
Crystal-LiuBojia/HGC
Crystal-LiuBojia/HyperIMBA
Code for "Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification"
Crystal-LiuBojia/IAN
Using Psycholinguistic Clues to Index Deep Semantic Evidences: Personality Detection in Social Media Texts
Crystal-LiuBojia/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Crystal-LiuBojia/INS-GNN
Crystal-LiuBojia/LTE4G
The official source code for LTE4G: Long-Tail Experts for Graph Neural Networks paper, accepted at CIKM 2022.
Crystal-LiuBojia/PsyCoT
Source code of EMNLP 2023 accepted paper "PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection"
Crystal-LiuBojia/pytorch_geometric
Graph Neural Network Library for PyTorch
Crystal-LiuBojia/research
Crystal-LiuBojia/TAM
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Crystal-LiuBojia/TNNLS_CDRS