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09/15/2023
Unveiling Invariances via Neural Network Pruning
Invariance describes transformations that do not alter data's underlying...
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07/20/2023
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Recent advances in large language models (LLMs) have demonstrated notabl...
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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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07/11/2023
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test
The expressive power of graph neural networks is usually measured by com...
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07/10/2023
Generalizing Graph ODE for Learning Complex System Dynamics across Environments
Learning multi-agent system dynamics has been extensively studied for va...
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07/08/2023
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
Heterogeneous Information Networks (HINs) are information networks with ...
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07/04/2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Knowledge graph embeddings (KGE) have been extensively studied to embed ...
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06/25/2023
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction
Drug-target interaction (DTI) prediction, which aims at predicting wheth...
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06/24/2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Graph neural networks (GNNs) are emerging for machine learning research ...
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06/20/2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Multi-agent dynamical systems refer to scenarios where multiple units in...
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06/13/2023
AVIS: Autonomous Visual Information Seeking with Large Language Models
In this paper, we propose an autonomous information seeking visual quest...
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05/18/2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Recent years have witnessed the growing popularity of domain-specific ac...
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04/23/2023
Bi-Level Attention Graph Neural Networks
Recent graph neural networks (GNNs) with the attention mechanism have hi...
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03/07/2023
Neural Compositional Rule Learning for Knowledge Graph Reasoning
Learning logical rules is critical to improving reasoning in KGs. This i...
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02/24/2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
Transparency and accountability have become major concerns for black-box...
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12/10/2022
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...
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12/05/2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis
Pandemic(epidemic) modeling, aiming at disease spreading analysis, has a...
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12/05/2022
Dissimilar Nodes Improve Graph Active Learning
Training labels for graph embedding algorithms could be costly to obtain...
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11/24/2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
In this paper, we move towards combining large parametric models with no...
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11/15/2022
Introducing Semantics into Speech Encoders
Recent studies find existing self-supervised speech encoders contain pri...
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11/15/2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
Answering open-domain questions requires world knowledge about in-contex...
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10/16/2022
Learning Probabilities of Causation from Finite Population Data
This paper deals with the problem of learning the probabilities of causa...
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10/15/2022
Code Recommendation for Open Source Software Developers
Open Source Software (OSS) is forming the spines of technology infrastru...
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10/15/2022
Unit Selection: Learning Benefit Function from Finite Population Data
The unit selection problem is to identify a group of individuals who are...
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09/19/2022
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
Two-view knowledge graphs (KGs) jointly represent two components: an ont...
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09/16/2022
Detecting Political Biases of Named Entities and Hashtags on Twitter
Ideological divisions in the United States have become increasingly prom...
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07/21/2022
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search
Recent advances have shown the success of using reinforcement learning a...
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06/06/2022
Schema-Guided Event Graph Completion
We tackle a new task, event graph completion, which aims to predict miss...
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03/28/2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Predicting missing facts in a knowledge graph (KG) is crucial as modern ...
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01/28/2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games
Explaining predictions made by machine learning models is important and ...
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01/11/2022
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics
Efficient model selection for identifying a suitable pre-trained neural ...
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11/17/2021
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
High-level synthesis (HLS) has freed the computer architects from develo...
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10/17/2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Graph Neural Networks (GNNs) have recently become popular for graph mach...
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10/09/2021
Deep Learning of Potential Outcomes
This review systematizes the emerging literature for causal inference us...
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09/21/2021
Relation-Guided Pre-Training for Open-Domain Question Answering
Answering complex open-domain questions requires understanding the laten...
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08/05/2021
Fuzzy Logic based Logical Query Answering on Knowledge Graph
Answering complex First-Order Logical (FOL) queries on large-scale incom...
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06/23/2021
Clinical Named Entity Recognition using Contextualized Token Representations
The clinical named entity recognition (CNER) task seeks to locate and cl...
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03/15/2021
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
Many large-scale knowledge bases simultaneously represent two views of k...
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03/07/2021
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
The widespread of Coronavirus has led to a worldwide pandemic with a hig...
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02/28/2021
CREATe: Clinical Report Extraction and Annotation Technology
Clinical case reports are written descriptions of the unique aspects of ...
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12/23/2020
Motif-Driven Contrastive Learning of Graph Representations
Graph motifs are significant subgraph patterns occurring frequently in g...
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12/16/2020
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
There has been a steady need in the medical community to precisely extra...
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12/12/2020
Query-free Black-box Adversarial Attacks on Graphs
Many graph-based machine learning models are known to be vulnerable to a...
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12/04/2020
Unsupervised Adversarially-Robust Representation Learning on Graphs
Recent works have demonstrated that deep learning on graphs is vulnerabl...
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11/08/2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Many real-world systems, such as moving planets, can be considered as mu...
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10/12/2020
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Over the past decade, multivariate time series classification (MTSC) has...
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10/07/2020
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
Predicting missing facts in a knowledge graph (KG) is a crucial task in ...
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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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06/11/2020
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
We introduce Bi-GNN for modeling biological link prediction tasks such a...
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06/02/2020