Archive

2026¹

March¹

Proximal Policy Optimization (PPO) for Large Language Models

March 19, 2026 · 3 min · JhuoW

2025¹²

November¹

ICML2025《Towards Graph Foundation Models：Learning Generalities Across Graphs via Task-Trees》 Reading Notes

November 8, 2025 · 2 min · JhuoW

October¹

ICML2025《AutoGFM：Automated Graph Foundation Model with Adaptive Architecture Customization》 Reading Notes

October 26, 2025 · 3 min · JhuoW

July⁴

NeurIPS2023《Prodigy：Enabling In-context Learning Over Graphs》 Reading Notes

July 28, 2025 · 2 min · JhuoW

ICML2024《LLaGA：Large Language and Graph Assistant》 Reading Notes

July 28, 2025 · 2 min · JhuoW

NeurIPS2024《GFT：Graph Foundation Model with Transferable Tree Vocabulary》 Reading Notes

July 28, 2025 · 2 min · JhuoW

ICLR2025《GOFA：A Generative One-For-All Model for Joint Graph Language Modeling》 Reading Notes

July 28, 2025 · 2 min · JhuoW

May⁶

Fair Graph Learning

May 21, 2025 · 10 min · JhuoW

ICLR2024《One for All：Towards Training One Graph Model for All Classification Tasks》 Reading Notes

May 21, 2025 · 2 min · JhuoW

KDD2023《All in One：Multi-Task Prompting for Graph Neural Networks》 Reading Notes

May 20, 2025 · 1 min · JhuoW

NeurIPS2023《Evaluating GNN Performance On Unseen Graphs Without Labels》 Reading Notes

May 20, 2025 · 2 min · JhuoW

ICML2023《Personalized Subgraph Federated Learning》Reading Notes

May 19, 2025 · 2 min · JhuoW

NeurIPS2021《Subgraph Federated Learning with Missing Neighbor Generation》Reading Notes

May 18, 2025 · 2 min · JhuoW

2024¹

May¹

LLMs and Graphs

May 25, 2024 · 5 min · JhuoW

2023⁵

July²

ICLR2023《Ordered GNN：Ordering Message Passing to Deal with Heterophily and Over-smoothing》 Reading Nodes

July 16, 2023 · 1 min · JhuoW

ICLR2023《MLPInit：Embarrassingly Simple GNN Training Acceleration with MLP Initialization》 Reading Nodes

July 15, 2023 · 1 min · JhuoW

May¹

Fraud Detection based on Graph Neural Networks

May 13, 2023 · 6 min · JhuoW

January²

ICML2022 《Local Augmentation for Graph Neural Networks》 Reading Notes

January 25, 2023 · 2 min · JhuoW

ICML2022 《ProGCL：Rethinking Hard Negative Mining in Graph Contrastive Learning》 Reading Note

January 8, 2023 · 2 min · JhuoW

2022²⁶

November¹

WWW2022 《ClusterSCL：Cluster-Aware Supervised Contrastive Learning on Graphs》 Reading Notes

November 17, 2022 · 4 min · JhuoW

September¹

ICLR2022 《Graph Condensation for Graph Neural Networks》 Reading Notes

September 1, 2022 · 1 min · JhuoW

August¹

MLP and GNNs

August 27, 2022 · 2 min · JhuoW

July¹

ICLR2021 《Combining Label Propagation and Simple Models Out-performs Graph Neural Networks》 Reading Notes

July 11, 2022 · 2 min · JhuoW

June¹

ICLR2022 《GLASS：GNN with Labeling Tricks for Subgraph Representation Learning》 Reading Notes

June 9, 2022 · 3 min · JhuoW

May²

NeurIPS2020 《Subgraph Neural Networks》 Reading Notes

May 27, 2022 · 2 min · JhuoW

NeurIPS2021 《Decoupling the Depth and Scope of Graph Neural Networks》 Reading Notes

May 21, 2022 · 2 min · JhuoW

April¹⁰

NeurIPS2021 《From Canonical Correlation Analysis to Self-supervised Graph Neural Networks》 Reading Notes

April 14, 2022 · 3 min · JhuoW

ICML2020 《Contrastive Multi-View Representation Learning on Graphs》 Reading Notes

April 12, 2022 · 2 min · JhuoW

WWW2022 《SimGRACE:A Simple Framework for Graph Contrastive Learning without Data Augmentation》 Reading Notes

April 9, 2022 · 2 min · JhuoW

NeurIPS2021 《Graph Neural Networks with Adaptive Residual》 Reading Notes

April 8, 2022 · 4 min · JhuoW

ICML2020 《When Does Self-Supervision Help Graph Convolutional Networks?》 Reading Notes

April 8, 2022 · 3 min · JhuoW

Proximal Gradient Descent

April 4, 2022 · 3 min · JhuoW

Everything about Graph Laplacian

April 2, 2022 · 16 min · JhuoW

NeurIPS2021 《Topology-Imbalance Learning for Semi-Supervised Node Classification》 Reading Notes

April 2, 2022 · 2 min · JhuoW

Expectation Maximization

April 1, 2022 · 4 min · JhuoW

ICML2020 《Robust Graph Representation Learning via Neural Sparsification》 Reading Notes

April 1, 2022 · 2 min · JhuoW

March⁹

NeurIPS2021 《Neo-GNNs:Neighborhood Overlap-aware Graph Neural Networks for Link Prediction》 Reading Notes

March 30, 2022 · 2 min · JhuoW

NeurIPS2021 《Representing Long-Range Context for Graph Neural Networks with Global Attention》 Reading Notes

March 30, 2022 · 1 min · JhuoW

NeurIPS2021 《Not All Low-Pass Filters are Robust in Graph Convolutional Networks》 Reading Notes

March 29, 2022 · 1 min · JhuoW

Blog, Tools and Survey

March 29, 2022 · 4 min · JhuoW

ICLR2020 《Inductive and Unsupervised Representation Learning on Graph Structured Objects》 Reading Notes

March 28, 2022 · 2 min · JhuoW

Awesome Barbell Graph with Networkx

March 27, 2022 · 1 min · JhuoW

Maximum Mean Discrepancy

March 27, 2022 · 2 min · JhuoW

Reproducing Kernel Hilbert Space

March 26, 2022 · 5 min · JhuoW

Monte Carlo Tree Search

March 25, 2022 · 2 min · JhuoW

2019¹¹

December¹

NIPS2018 《DiffPool:Hierarchical Graph Representation Learning with Differentiable Pooling》 Reading Notes

December 19, 2019 · 1 min · JhuoW

September¹

Notes for Spectral Clustering

September 7, 2019 · 4 min · JhuoW

May³

AAAI2017 M-NMF:《Community Preserving Network Embedding》 Reading Notes

May 29, 2019 · 1 min · JhuoW

WSDM2016 《Representation Learning for Information Diffusion through Social Networks:an Embedded Cascade Model》 Reading Notes

May 12, 2019 · 1 min · JhuoW

Influence Maximization Conclusion

May 6, 2019 · 2 min · JhuoW

March²

社交网络影响最大化（Influence Maximization）中的IC，LT模型

March 20, 2019 · 1 min · JhuoW

SIGIR18 《BiNE:Bipartite Network Embedding》 Reading Notes

March 13, 2019 · 1 min · JhuoW

February¹

SIGIR2018 《HTNE Embedding Temporal Network via Neighborhood Formation》 Reading Notes

February 17, 2019 · 1 min · JhuoW

January³

AAAI2018 《GraphGAN:Graph Representation Learning with Generative Adversarial Nets》Reading Notes

January 22, 2019 · 1 min · JhuoW

CIKM2018 《Enhanced Network Embeddings via Exploiting Edge Labels》 Reading Notes

January 22, 2019 · 1 min · JhuoW

KDD2016 SDNE:《Structral Deep Network Embedding》 Reading Notes

January 21, 2019 · 1 min · JhuoW

2018⁵

September¹

ICLR2018 《Graph Attention Networks》 Reading Notes

September 14, 2018 · 1 min · JhuoW

June¹

KDD2017 《metapath2vec:Scalable Representation Learning for Heterogeneous Networks》 Reading Notes

June 29, 2018 · 1 min · JhuoW

April¹

OpenCV轮廓提取并计算图片中某一封闭区域的面积

April 2, 2018 · 1 min · JhuoW

March¹

ACL2017 《CANE:Context-Aware Network Embedding for Relation Modeling》 Reading Notes

March 9, 2018 · 3 min · JhuoW

January¹

深度学习中的优化算法总结

January 28, 2018 · 2 min · JhuoW

2026 1

March 1

Proximal Policy Optimization (PPO) for Large Language Models

2025 12

November 1

ICML2025《Towards Graph Foundation Models：Learning Generalities Across Graphs via Task-Trees》 Reading Notes

October 1

ICML2025《AutoGFM：Automated Graph Foundation Model with Adaptive Architecture Customization》 Reading Notes

July 4

NeurIPS2023《Prodigy：Enabling In-context Learning Over Graphs》 Reading Notes

ICML2024《LLaGA：Large Language and Graph Assistant》 Reading Notes

NeurIPS2024《GFT：Graph Foundation Model with Transferable Tree Vocabulary》 Reading Notes

ICLR2025《GOFA：A Generative One-For-All Model for Joint Graph Language Modeling》 Reading Notes

May 6

Fair Graph Learning

ICLR2024《One for All：Towards Training One Graph Model for All Classification Tasks》 Reading Notes

KDD2023《All in One：Multi-Task Prompting for Graph Neural Networks》 Reading Notes

NeurIPS2023《Evaluating GNN Performance On Unseen Graphs Without Labels》 Reading Notes

ICML2023《Personalized Subgraph Federated Learning》Reading Notes

NeurIPS2021《Subgraph Federated Learning with Missing Neighbor Generation》Reading Notes

2024 1

May 1

LLMs and Graphs

2023 5

July 2

ICLR2023《Ordered GNN：Ordering Message Passing to Deal with Heterophily and Over-smoothing》 Reading Nodes

ICLR2023《MLPInit：Embarrassingly Simple GNN Training Acceleration with MLP Initialization》 Reading Nodes

May 1

Fraud Detection based on Graph Neural Networks

January 2

ICML2022 《Local Augmentation for Graph Neural Networks》 Reading Notes

ICML2022 《ProGCL：Rethinking Hard Negative Mining in Graph Contrastive Learning》 Reading Note

2022 26

November 1

WWW2022 《ClusterSCL：Cluster-Aware Supervised Contrastive Learning on Graphs》 Reading Notes

September 1

ICLR2022 《Graph Condensation for Graph Neural Networks》 Reading Notes

August 1

MLP and GNNs

July 1

ICLR2021 《Combining Label Propagation and Simple Models Out-performs Graph Neural Networks》 Reading Notes

June 1

ICLR2022 《GLASS：GNN with Labeling Tricks for Subgraph Representation Learning》 Reading Notes

May 2

NeurIPS2020 《Subgraph Neural Networks》 Reading Notes

NeurIPS2021 《Decoupling the Depth and Scope of Graph Neural Networks》 Reading Notes

April 10

NeurIPS2021 《From Canonical Correlation Analysis to Self-supervised Graph Neural Networks》 Reading Notes

ICML2020 《Contrastive Multi-View Representation Learning on Graphs》 Reading Notes

WWW2022 《SimGRACE:A Simple Framework for Graph Contrastive Learning without Data Augmentation》 Reading Notes

NeurIPS2021 《Graph Neural Networks with Adaptive Residual》 Reading Notes

ICML2020 《When Does Self-Supervision Help Graph Convolutional Networks?》 Reading Notes

Proximal Gradient Descent

Everything about Graph Laplacian

NeurIPS2021 《Topology-Imbalance Learning for Semi-Supervised Node Classification》 Reading Notes

Expectation Maximization

ICML2020 《Robust Graph Representation Learning via Neural Sparsification》 Reading Notes

March 9

NeurIPS2021 《Neo-GNNs:Neighborhood Overlap-aware Graph Neural Networks for Link Prediction》 Reading Notes

NeurIPS2021 《Representing Long-Range Context for Graph Neural Networks with Global Attention》 Reading Notes

NeurIPS2021 《Not All Low-Pass Filters are Robust in Graph Convolutional Networks》 Reading Notes

Blog, Tools and Survey

ICLR2020 《Inductive and Unsupervised Representation Learning on Graph Structured Objects》 Reading Notes

Awesome Barbell Graph with Networkx

Maximum Mean Discrepancy

Reproducing Kernel Hilbert Space

Monte Carlo Tree Search

2019 11

December 1

NIPS2018 《DiffPool:Hierarchical Graph Representation Learning with Differentiable Pooling》 Reading Notes

September 1

Notes for Spectral Clustering

May 3

AAAI2017 M-NMF:《Community Preserving Network Embedding》 Reading Notes

WSDM2016 《Representation Learning for Information Diffusion through Social Networks:an Embedded Cascade Model》 Reading Notes

Influence Maximization Conclusion

March 2

社交网络影响最大化（Influence Maximization）中的IC，LT模型

SIGIR18 《BiNE:Bipartite Network Embedding》 Reading Notes

February 1

2026¹

March¹

2025¹²

November¹

October¹

July⁴

May⁶

2024¹

May¹

2023⁵

July²

May¹

January²

2022²⁶

November¹

September¹

August¹

July¹

June¹

May²

April¹⁰

March⁹

2019¹¹

December¹

September¹

May³

March²

February¹

January³

2018⁵

September¹

June¹

April¹

March¹

January¹