- Kunming, China
Starred repositories
Paper list for the survey "Combating Misinformation in the Age of LLMs: Opportunities and Challenges" and the initiative "LLMs Meet Misinformation", accepted by AI Magazine 2024
Source Codes: Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning -- WWW 2019
This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Adversarial attacks and defenses on Graph Neural Networks.
Awesome Papers About Performing Prompting On Graphs
Must-read papers on graph foundation models (GFMs)
Deep and conventional community detection related papers, implementations, datasets, and tools.
Heterogeneous Information Network Datasets for Recommendation and Network Embedding
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
⚛️ RDKit Python Wheels on PyPI. 💻 pip install rdkit
This repository contains the resources on graph neural network (GNN) considering heterophily.
This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (Li et al.) in PyTorch.
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structur…
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Graph Neural Network Library for PyTorch
Various software built on various platforms.
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Curated list of project-based tutorials
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
A curated list for awesome self-supervised learning for graphs.