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A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Wsdm2018_hyperqa ⭐ 67

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

Wsdm Adhoc Document Retrieval ⭐ 51

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.

Wsdm Cup 2019 ⭐ 46

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'

Redqueen ⭐ 19

Code for "RedQueen: An Online Algorithm for Smart Broadcasting on Social Networks", WSDM 2017

Wsdm Digg 2020 ⭐ 14

Paperlist_nlp_ir_rec_ai_conference ⭐ 13

2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录，方便直

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

Discussion Complexity ⭐ 8

Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019

Spotify Sequential Skip Prediction ⭐ 8

7th place solution to the WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge

Corerank Wsdm 2019 ⭐ 7

CoReRank: Ranking to Detect Users Involved in Blackmarket-based Collusive Retweeting Activities (WSDM 2019)

Wsdm Spotify Challenge 2019 ⭐ 5

Sequential skip prediction using deep learning and ensembles

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Python Wsdm (10)

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