UCLA Data Mining Lab

UCLA Data Mining Lab's repositories

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

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HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"

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Website of our DM group.

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

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Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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[ICLR 2022] Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

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

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Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

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Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

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Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

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TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

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