Jintang Li's Projects
ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
An introduction to graph adversarial learning
Tips for Writing a Research Paper using LaTeX
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
[KDD 2023] Whatβs Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Official PyTorch implementation of MedianGCN and TrimmedGCN in Understanding Structural Vulnerability in Graph Convolutional Networks (IJCAI 2021).
Archive/mirror of Karypis C METIS library 5.1.0
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
Graph Data Augmentation Library for PyTorch Geometric
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Graph Neural Network Library for PyTorch
A curated collection of adversarial attack and defense on recommender systems.
The biologically plausible self backpropagation on SNNs and ANNs
Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]
Python implement of SGC with Tensorflow 2.0.
Competition for best expository article on cutting-edge ML research
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0οΈβ£1οΈβ£ SpikeGCL)
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks