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08/28/2023
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Although large language models (LLMs) demonstrate impressive performance...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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06/13/2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
We present WebGLM, a web-enhanced question-answering system based on the...
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06/06/2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
In-Batch contrastive learning is a state-of-the-art self-supervised meth...
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05/24/2023
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration
We identify two crucial limitations in the evaluation of recent parallel...
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04/12/2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
We present ImageReward – the first general-purpose text-to-image human p...
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04/10/2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Graph self-supervised learning (SSL), including contrastive and generati...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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10/05/2022
GLM-130B: An Open Bilingual Pre-trained Model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
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08/16/2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
Knowledge graph (KG) embeddings have been a mainstream approach for reas...
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07/14/2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Prompt tuning attempts to update few task-specific parameters in pre-tra...
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05/22/2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
Self-supervised learning (SSL) has been extensively explored in recent y...
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04/09/2022
IDPG: An Instance-Dependent Prompt Generation Method
Prompt tuning is a new, efficient NLP transfer learning paradigm that ad...
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03/12/2022
GRAND+: Scalable Graph Random Neural Networks
Graph neural networks (GNNs) have been widely adopted for semi-supervise...
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03/02/2022
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
Entity alignment, aiming to identify equivalent entities across differen...
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02/15/2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
How can we perform knowledge reasoning over temporal knowledge graphs (T...
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12/30/2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Heterogeneous graph neural networks (HGNNs) have been blossoming in rece...
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11/08/2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Adversarial attacks on graphs have posed a major threat to the robustnes...
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08/17/2021
GCCAD: Graph Contrastive Coding for Anomaly Detection
Graph-based anomaly detection has been widely used for detecting malicio...
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06/17/2021
A Self-supervised Method for Entity Alignment
Entity alignment, aiming to identify equivalent entities across differen...
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06/12/2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
Graph Neural Networks (GNNs) have achieved promising performance in vari...
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05/01/2021
Science as a Public Good: Public Use and Funding of Science
Knowledge of how science is consumed in public domains is essential for ...
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03/17/2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Enabling effective and efficient machine learning (ML) over large-scale ...
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02/15/2021
MATCH: Metadata-Aware Text Classification in A Large Hierarchy
Multi-label text classification refers to the problem of assigning each ...
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11/16/2020
A Large-Scale Database for Graph Representation Learning
With the rapid emergence of graph representation learning, the construct...
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06/27/2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Graph neural networks (GNNs) have been demonstrated to be powerful in mo...
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06/17/2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Graph representation learning has emerged as a powerful technique for re...
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05/22/2020
Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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05/02/2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
We present the Open Graph Benchmark (OGB), a diverse set of challenging ...
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03/03/2020
Heterogeneous Graph Transformer
Recent years have witnessed the emerging success of graph neural network...
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06/26/2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
We study the problem of large-scale network embedding, which aims to lea...
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07/15/2018
DeepInf: Social Influence Prediction with Deep Learning
Social and information networking activities such as on Facebook, Twitte...
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06/10/2018
Collaboration Diversity and Scientific Impact
The shift from individual effort to collaborative output has benefited s...
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02/13/2018
Neural Tensor Factorization
Neural collaborative filtering (NCF) and recurrent recommender systems (...
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10/09/2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Since the invention of word2vec, the skip-gram model has significantly a...
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04/17/2017
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations
Progress in science has advanced the development of human society across...
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06/19/2016
Can Scientific Impact Be Predicted?
A widely used measure of scientific impact is citations. However, due to...
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12/15/2014
Will This Paper Increase Your h-index? Scientific Impact Prediction
Scientific impact plays a central role in the evaluation of the output o...
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04/14/2014