pyTooling is a collection of arbitrary useful classes, decorators, meta-classes and exceptions.

A research repo for experiments about Reinforcement Finetuning

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

A curated list of resources for graph-related topics, including graph databases, analytics and science

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Inspect: A framework for large language model evaluations

[NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)

Public repository of our paper "Graphing a Decision: a Survey for Explainability on Graph-based Learning Models"

Visual Learning of Graph Neural Networks in Your Web Browser

EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks

The official implementation of "FlowX: Towards Explainable Graph Neural Networks via Message Flows" [TPAMI 2023]

GrpahTrail: Translating GNN Predictions into Human-Interpretable Logical Rules

Temporal Graph Benchmark project repo

AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data

Insightful Tutorials and Papers about Knowledge Graphs

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

🥇 A curated list of awesome large language models in finance(FinLLMs), including papers,models,datasets and codebases. 金融大模型列表，特别是中英双语大模型。

Offical code implementation of paper "Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning" to appear in AAAI2025

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch

Streamlit App for Node and Graph Classification and Explainability

IBM Snap ML Examples

Awesome papers about unifying LLMs and KGs