Official code for "AlphaFree : Recommendation Free from Users, IDs, and GNNs" (WWW 26)

SOTA search powered LLM

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

This repository contains demos I made with the Transformers library by HuggingFace.

A web-based collaborative LaTeX editor

Machine Learning Engineering Open Book

A system for assigning and grading notebooks

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

PyTorch implementation of LeapRec (CIKM 2024)

Code and data for the ACM CIKM 2024 paper "Adversarial Text Rewriting for Text-aware Recommender Systems"

MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)

This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]

Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24)

This is the official implementation of ICML 2024 paper "Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs"

Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".

Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models (ICLR 2024)

About Implementation of Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions (InfoSci-24)

Published as a conference paper at ICLR 2024

Implementation of Adaptive RWR Computation on Hypergraphs

Code repository of the paper, "You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark," published in CIKM 2023.

MiDaS-B: Back-In-Time Sampling from Real-world Hypergraphs

TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions (ICDM 23)

Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)

[KDD'23] On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms

Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success (TMLR)

Code for paper "Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining" (KDD 2023)