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followers: 72.0 following: 46.0 repos: 84.0 gists: 0.0

Name: Huixuan Chi (迟慧璇)

Type: User

Company: Institute of Computing Technology, Chinese Academy of Sciences

Bio: M.S. student @ ICT (CAS).

Location: Beijing

Here is Huixuan Chi (迟慧璇). 👋

Status: 24校招找工作中，欢迎联系...

Profile

I have graduated from NCEPU.
Now, I'm a master student of ICT@CAS.
I’m interested in Graph Embedding.
How to reach me: [email protected]

Internship

Mind GPT Taskmaster, Code and Agent, SSAI@LiAuto
Heterogeneous Graph Embedding for Douyin Risk Control, Risk-Control@Bytedance
Dynamic Graph for Life Service Recommender System, NLP-Center@Meituan
Graph Transformer on OGB, AML@Bytedance

Recent Research

Chi H, Xu H, Liu M, et al. Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. (CIKM'23 Workshop)
Xu H, Chi H, Liu D, et al. DPGN: Denoising Periodic Graph Network for Life Service Recommendation. (CIKM'23, Long Oral)
Bei Y, Xu H, Zhou S, Chi H, et al. CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. (ICDE'24, Accepted)
Chi H, Hao Q. ALSP: Adaptive Long Short-term Preference Modeling with Temporal Graph Neural Networks.

Project

梦想家 (DreamerGPT): 中文大语言模型指令精调 in 2023.
DGraph-Fin Leaderboard achieved Top2 in August, 2022.
MAXP-DGL-Competition. (Graph@ICT, Rank6)
OGB Leaderboard for three tasks.

Huixuan Chi (迟慧璇)'s Projects

ai-computing-system-lab

智能计算系统实验部分

ai-homework

智能计算系统作业

care-gnn

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

circuit_training

clsr

Implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

cnn-test

CNN中2d卷积算子的分析与实验

cope

Codes and data for CIKM 2021 paper "CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph"

ctdne

Implementation of the CTDNE algorithm.

deepseek-coder

DeepSeek Coder: Let the Code Write Itself

denoisingrec

Adaptive Denoising Training (ADT) for Recommendation.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-lp-baseline

Link prediction gnn baselines implemented by DGL.

dgraphfin_baseline

This is a repository contaning baseline code for DGraphFin Dataset

dpgn

Code for CIKM2023 Long paper "DPGN: Denoising Periodic Graph Network for Life Service Recommendation"

duorec

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

dynamic-graph-embedding-methods-summary

动态图嵌入方法学习

edge-proposal-sets

Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)

gcc

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

gcn_res-cs-v2

This is an improvement of the GCN_res model, using the C&S method. This is the v2 version.

gcn_res-cs-v3

This is an improvement of the GCN_res model, using the C&S method. This is the v3 version, which using validation labels in LP.

gcn_res-flag

This is an improvement of the GCN_res model, using the FLAG method.

gnn-dataset

典型图数据集的加载与使用（基于PyG），包括OGB等。

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graphsage-cora-citeseer-pubmed

这是GraphSAGE模型在Cora、Citeseer、Pubmed数据集上的复现代码。语言：PyTorch

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

graphsage-simple

Simple reference implementation of GraphSAGE.

hpmn

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.