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Must-read Papers on Textual Adversarial Attack and Defense

Recipes to train reward model for RLHF.

NLP新手入门教程

Benchmark of federated learning. Dedicated to the community. 🤗

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

BERT distillation（基于BERT的蒸馏实验 ）

Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss

Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accepted)

Profiling and Deanonymizing Ethereum Users

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML

This is the official implementation of the paper “Griffin: Towards a Graph-Centric Relational Database Foundation Model.”

Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm a…

Second order Phishing Network

This is the code of TLmGNN

Know Your Account: Double graph inference-based Account De-anonymization on Ethereum accpted for ICDE2025

Graph Neural Network Library for PyTorch

A Library for Dynamic Graph Learning